Triple

T18279219
Position Surface form Disambiguated ID Type / Status
Subject Moradabad division E437819 entity
Predicate locatedIn P40 FINISHED
Object Moradabad district 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: Moradabad district | Statement: [Moradabad division, locatedIn, Moradabad district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moradabad district
Context triple: [Moradabad division, locatedIn, Moradabad district]
  • A. Moradabad district chosen
    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.
  • 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. Bareilly district
    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.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50054d1dc8190b31d02f617256e9d completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.