Triple

T11450949
Position Surface form Disambiguated ID Type / Status
Subject Bharuch E271391 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object GJ-16
GJ-16 is the vehicle registration code assigned to the Bharuch district in the Indian state of Gujarat.
E926608 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: GJ-16 | Statement: [Bharuch, hasVehicleRegistrationCode, GJ-16]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GJ-16
Context triple: [Bharuch, hasVehicleRegistrationCode, GJ-16]
  • A. GJ-18
    GJ-18 is the regional vehicle registration code assigned to motor vehicles registered in Gandhinagar, the capital city of Gujarat, India.
  • B. GJ-13
    GJ-13 is the regional vehicle registration code assigned to the Surendranagar district in the Indian state of Gujarat.
  • C. GJ-3
    GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • D. GJ-25
    GJ-25 is the vehicle registration code assigned to the Porbandar district in the Indian state of Gujarat.
  • E. GJ-07
    GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GJ-16
Triple: [Bharuch, hasVehicleRegistrationCode, GJ-16]
Generated description
GJ-16 is the vehicle registration code assigned to the Bharuch district in the Indian state of Gujarat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GJ-16
Target entity description: GJ-16 is the vehicle registration code assigned to the Bharuch district in the Indian state of Gujarat.
  • A. GJ-18
    GJ-18 is the regional vehicle registration code assigned to motor vehicles registered in Gandhinagar, the capital city of Gujarat, India.
  • B. GJ-13
    GJ-13 is the regional vehicle registration code assigned to the Surendranagar district in the Indian state of Gujarat.
  • C. GJ-3
    GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • D. GJ-25
    GJ-25 is the vehicle registration code assigned to the Porbandar district in the Indian state of Gujarat.
  • E. GJ-07
    GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6f4d788190ac59b0df946cebbc completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3cb63408190a96b97f716d46082 completed April 20, 2026, 7:20 a.m.
NEDg Description generation batch_69e5d7e46e248190aba139dc32185e2f completed April 20, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_69e5e192297c8190992578f734e63427 completed April 20, 2026, 8:19 a.m.
Created at: April 8, 2026, 9:35 p.m.