Triple

T6967819
Position Surface form Disambiguated ID Type / Status
Subject Western Uttar Pradesh E161531 entity
Predicate contains P35 FINISHED
Object Agra division E124902 NE FINISHED

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: Agra division | Statement: [Western Uttar Pradesh, contains, Agra division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agra division
Context triple: [Western Uttar Pradesh, contains, Agra division]
  • A. Agra division chosen
    Agra division is an administrative division in the Indian state of Uttar Pradesh that includes the city of Agra and surrounding districts.
  • B. Agra district
    Agra district is an administrative district in the Indian state of Uttar Pradesh, best known for encompassing the city of Agra, home to the Taj Mahal.
  • C. Agra metropolitan area
    The Agra metropolitan area is the urban agglomeration centered on the historic city of Agra in Uttar Pradesh, India, encompassing its surrounding suburbs and satellite localities.
  • D. Aligarh district
    Aligarh district is an administrative region in the Indian state of Uttar Pradesh, known for the city of Aligarh and its prominent educational and lock industries.
  • E. Lucknow district
    Lucknow district is an administrative region in the Indian state of Uttar Pradesh that encompasses the city of Lucknow and its surrounding areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1373d88190967b42630f8688d6 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78833914881909aa2ef993b89c7ab completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:30 p.m.