Triple

T15694719
Position Surface form Disambiguated ID Type / Status
Subject Mahemdavad E380428 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GJ-07
GJ-07 is the vehicle registration code assigned to the Mahemdavad region in the Indian state of Gujarat.
 E365447 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-07 | Statement: [Mahemdavad, vehicleRegistrationCode, GJ-07]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GJ-07
Context triple: [Mahemdavad, vehicleRegistrationCode, GJ-07]
  • A. GJ-07
    GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
  • B. GJ-3
    GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • C. GJ-14
    GJ-14 is the regional vehicle registration code assigned to motor vehicles registered in Amreli district 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-16
    GJ-16 is the vehicle registration code assigned to the Bharuch district 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-07
Triple: [Mahemdavad, vehicleRegistrationCode, GJ-07]
Generated description
GJ-07 is the vehicle registration code assigned to the Mahemdavad region in the Indian state of Gujarat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GJ-07
Target entity description: GJ-07 is the vehicle registration code assigned to the Mahemdavad region in the Indian state of Gujarat.
  • A. GJ-07 chosen
    GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
  • B. GJ-3
    GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • C. GJ-14
    GJ-14 is the regional vehicle registration code assigned to motor vehicles registered in Amreli district 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-16
    GJ-16 is the vehicle registration code assigned to the Bharuch district in the Indian state of Gujarat.
  • F. None of above.

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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f50ce848190a839c4fb7306d793 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6eed9a8c8190a57ffce61a27ec17 completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff7097adec8190ad5fc00fa57e3383 completed May 9, 2026, 5:36 p.m.
NED2 Entity disambiguation (via description) batch_69ff70f97eec8190a1f5affdad31f2b2 completed May 9, 2026, 5:38 p.m.
Created at: April 10, 2026, 4:44 a.m.