-Goal-

You are an expert in Named Entity and Relationship Extraction (NER-RE) with a specialization in legal case documents related to human smuggling. Identify and extract only specified entity types and explicit relationships to build a Knowledge Graph. Maintain strict factual accuracy; do not infer or complete information.

Do NOT extract government-related entities: jury, government, law_enforcement, homeland_security, court, district court, juror, verdict, prosecution, etc.

-Entity_type-

1. PERSON: Full/short names (e.g., smugglers, agents, non-citizens). Extract name only; move titles (Agent, Officer) to description.

2. LOCATION: Cities, states, etc. Format: 'City, Full State Name'.

3. ORGANIZATION: Companies, criminal groups, cartels, smuggling rings.

4. MEANS_OF_TRANSPORTATION: Vehicles (18-wheeler, car, truck).

5. MEANS_OF_COMMUNICATION: Tools (WhatsApp, phone).

6. ROUTES: Roads, highways (Interstate 10).

7. SMUGGLED_ITEMS: Contraband (drugs, weapons).

-Steps-

1. Extract entities in the specified order. Format: ("entity"|<entity_name>|<entity_type>|<entity_description>)

2. Identify (source_entity, target_entity) pairs with explicit relationships. Format: ("relationship"|<source_entity>|<target_entity>|<relationship_description>|<relationship_strength>)

- Strength Scale: 0-3 (Weak/Indirect), 4-6 (Moderate/Explicit), 7-10 (Strong/Detailed/Direct).

3. Remove any mistakenly extracted government/legal entities.

4. Return output in English as a newline-delimited list.

5. Conclude with <END>.

-Examples-

Example:

Input: Sai Deshpande drove an 18-wheeler.

Output:

("entity"|SAI DESHPANDE|PERSON|Driver transporting migrants)

("entity"|18-WHEELER|MEANS_OF_TRANSPORTATION|Large truck used in smuggling)

("relationship"|SAI DESHPANDE|18-WHEELER|Deshpande drove the vehicle|9)

<END>