Triple

T22765277
Position Surface form Disambiguated ID Type / Status
Subject Meerut Cantonment E563106 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object UP-15 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: UP-15 | Statement: [Meerut Cantonment, vehicleRegistrationCode, UP-15]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UP-15
Context triple: [Meerut Cantonment, vehicleRegistrationCode, UP-15]
  • A. UP-15 chosen
    UP-15 is the vehicle registration code assigned to motor vehicles registered in Meerut district in the Indian state of Uttar Pradesh.
  • B. UP-50
    UP-50 is the regional vehicle registration code assigned to motor vehicles registered in the Azamgarh district of Uttar Pradesh, India.
  • C. UP-54
    UP-54 is the regional vehicle registration code assigned to the Mau district in the Indian state of Uttar Pradesh.
  • D. UP16
    UP16 is the vehicle registration code assigned to motor vehicles registered in Greater Noida, Uttar Pradesh, India.
  • E. UP-81
    UP-81 is the regional vehicle registration code assigned to the Khair area in the Indian state of Uttar Pradesh.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a80249c819091569e7b8d500b45 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.