Triple

T7910610
Position Surface form Disambiguated ID Type / Status
Subject Khadki E183687 entity
Predicate locatedInDivision P40 FINISHED
Object Aurangabad division E631028 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: Aurangabad division | Statement: [Khadki, locatedInDivision, Aurangabad division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurangabad division
Context triple: [Khadki, locatedInDivision, Aurangabad division]
  • A. Aurangabad division chosen
    Aurangabad division is an administrative division in the state of Maharashtra, India, comprising several districts in the Marathwada region.
  • 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. Hyderabad Division
    Hyderabad Division is an administrative division in the Sindh province of Pakistan that encompasses the city of Hyderabad and surrounding districts.
  • D. Solapur division
    Solapur division is an administrative division in the Indian state of Maharashtra that includes Solapur and surrounding districts for regional governance.
  • 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 (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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a5db9508190bbe92673ef5a7861 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdff156c481909a32be8828f407ad completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:04 p.m.