Triple

T22675697
Position Surface form Disambiguated ID Type / Status
Subject Parbhani district E560338 entity
Predicate partOf P40 FINISHED
Object Aurangabad 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: Aurangabad division | Statement: [Parbhani district, partOf, Aurangabad division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurangabad division
Context triple: [Parbhani district, partOf, 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. Aurangabad district
    Aurangabad district is an administrative district in the Indian state of Bihar, known for its agricultural economy and location in the Magadh region.
  • C. 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.
  • D. Hyderabad Division
    Hyderabad Division is an administrative division in the Sindh province of Pakistan that encompasses the city of Hyderabad and surrounding districts.
  • E. Surat division
    Surat division is an administrative division in the Indian state of Gujarat that encompasses several districts, including Navsari.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17823bd1881908958b0a8ba59e199 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:11 p.m.