Triple

T5328991
Position Surface form Disambiguated ID Type / Status
Subject Civil Lines, Bareilly E123256 entity
Predicate district P2709 FINISHED
Object Bareilly district E512589 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: Bareilly district | Statement: [Civil Lines, Bareilly, district, Bareilly district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bareilly district
Context triple: [Civil Lines, Bareilly, district, Bareilly district]
  • A. Bareilly district chosen
    Bareilly district is an administrative district in the Indian state of Uttar Pradesh, with the city of Bareilly as its headquarters and primary urban center.
  • B. 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.
  • C. Moradabad district
    Moradabad district is an administrative region in the Indian state of Uttar Pradesh, centered around the city of Moradabad and known for its brassware industry.
  • D. Jalaun district
    Jalaun district is an administrative district in the state of Uttar Pradesh, India, located in the Bundelkhand region and known for its predominantly agrarian landscape.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8593bd6c8190b2054e548ddf2458 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21bebea0819083e6deae67f3e834 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 2 p.m.