Triple

T21073106
Position Surface form Disambiguated ID Type / Status
Subject Hapur district E519158 entity
Predicate partOf P40 FINISHED
Object Meerut division 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: Meerut division | Statement: [Hapur district, partOf, Meerut division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meerut division
Context triple: [Hapur district, partOf, Meerut division]
  • A. Meerut division chosen
    Meerut division is an administrative division in the Indian state of Uttar Pradesh that encompasses Meerut and several surrounding districts for regional governance.
  • B. Moradabad division
    Moradabad division is an administrative division in the Indian state of Uttar Pradesh, centered around the city of Moradabad and comprising several surrounding districts.
  • C. Bareilly division
    Bareilly division is an administrative division in the Indian state of Uttar Pradesh that includes Bareilly and surrounding districts for regional governance.
  • D. Faridabad division
    Faridabad division is an administrative division in the Indian state of Haryana, centered around the industrial city of Faridabad and comprising multiple surrounding districts.
  • E. Aligarh division
    Aligarh division is an administrative division in the Indian state of Uttar Pradesh, centered on the city of Aligarh and comprising several surrounding districts.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d491a08190a9f5f28c0b72d38c completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:47 p.m.