Triple

T19390734
Position Surface form Disambiguated ID Type / Status
Subject Kutiyana E485059 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GJ-25 NE NERFINISHED

How this triple was built (2 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-25 | Statement: [Kutiyana, vehicleRegistrationCode, GJ-25]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GJ-25
Context triple: [Kutiyana, vehicleRegistrationCode, GJ-25]
  • A. GJ-25 chosen
    GJ-25 is the vehicle registration code assigned to the Porbandar district in the Indian state of Gujarat.
  • B. GJ-24
    GJ-24 is the vehicle registration code assigned to motor vehicles registered in Patan district of Gujarat, India.
  • C. GJ-20
    GJ-20 is the motor vehicle registration code assigned to the Dahod district in the Indian state of Gujarat.
  • D. GJ-18
    GJ-18 is the vehicle registration code assigned to motor vehicles registered in Rajkot district in the Indian state of Gujarat.
  • E. GJ-18
    GJ-18 is the regional vehicle registration code assigned to motor vehicles registered in Gandhinagar, the capital city of Gujarat, India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b44b70c81908e2f0deeabe4360f completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.