Triple

T19363356
Position Surface form Disambiguated ID Type / Status
Subject Iglas E484335 entity
Predicate locatedIn P40 FINISHED
Object Aligarh 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: Aligarh district | Statement: [Iglas, locatedIn, Aligarh district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aligarh district
Context triple: [Iglas, locatedIn, Aligarh district]
  • A. Aligarh district chosen
    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.
  • B. 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.
  • C. Bulandshahr district
    Bulandshahr district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and agricultural economy.
  • 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. 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 (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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619a897008190a2c62a50ca60de2d completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:34 p.m.