Triple

T10084240
Position Surface form Disambiguated ID Type / Status
Subject Rampur district E215178 entity
Predicate division P889 FINISHED
Object Moradabad division E437819 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: Moradabad division | Statement: [Rampur district, division, Moradabad division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moradabad division
Context triple: [Rampur district, division, Moradabad division]
  • A. Moradabad division chosen
    Moradabad division is an administrative division in the Indian state of Uttar Pradesh, centered around the city of Moradabad and comprising several surrounding districts.
  • B. Bareilly division
    Bareilly division is an administrative division in the Indian state of Uttar Pradesh that includes Bareilly and surrounding districts for regional governance.
  • C. 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.
  • D. Meerut division
    Meerut division is an administrative division in the Indian state of Uttar Pradesh that encompasses Meerut and several surrounding districts for regional governance.
  • E. Saharanpur division
    Saharanpur division is an administrative division in the Indian state of Uttar Pradesh, centered on the city of Saharanpur and comprising several districts in the state's northwestern region.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd044c1ec8190b5b48cdb0584d00c completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b675f4b08190bd8285f210191b93 completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9 p.m.