Triple

T22701199
Position Surface form Disambiguated ID Type / Status
Subject Hardoi district E561327 entity
Predicate division P889 FINISHED
Object Lucknow 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: Lucknow division | Statement: [Hardoi district, division, Lucknow division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucknow division
Context triple: [Hardoi district, division, Lucknow division]
  • A. Lucknow division chosen
    Lucknow division is an administrative division in the Indian state of Uttar Pradesh that includes districts such as Lucknow and Rae Bareli.
  • B. Allahabad Division
    Allahabad Division was an administrative subdivision centered on the city of Allahabad within British India’s North-Western Provinces.
  • 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. Kanpur division
    Kanpur division is an administrative division in the Indian state of Uttar Pradesh, centered on the industrial city of Kanpur and comprising several surrounding districts.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cb2f548190bfc6f050be7c795a completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:15 p.m.