Triple

T11562603
Position Surface form Disambiguated ID Type / Status
Subject Rohilla E274179 entity
Predicate demographicConcentration P25074 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: [Rohilla, demographicConcentration, Bareilly district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bareilly district
Context triple: [Rohilla, demographicConcentration, 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. Bulandshahr district
    Bulandshahr district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and agricultural economy.
  • C. 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.
  • D. Farrukhabad district
    Farrukhabad district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and textile and perfume (attar) industries.
  • E. 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.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd2016481909b33848af3d1d6c1 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e89e73b481908175576f4ec8d39a completed April 21, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:37 p.m.