Triple

T6367944
Position Surface form Disambiguated ID Type / Status
Subject Jalgaon district E143273 entity
Predicate hasHeadquarters P62 FINISHED
Object Jalgaon E163395 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: Jalgaon | Statement: [Jalgaon district, hasHeadquarters, Jalgaon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalgaon
Context triple: [Jalgaon district, hasHeadquarters, Jalgaon]
  • A. Jalgaon chosen
    Jalgaon is a city in northwestern Maharashtra, India, known as a major commercial center for banana production and trade.
  • B. Gondia
    Gondia is a district in the Indian state of Maharashtra, known for its rice production and proximity to forests and wildlife reserves.
  • C. Ratlam
    Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
  • D. Jamnagar
    Jamnagar is a city in the Indian state of Gujarat, known for its oil refineries, brass industries, and proximity to the Gulf of Kutch.
  • E. Bhiwadi
    Bhiwadi is an industrial town in the Indian state of Rajasthan that forms part of the extended urban and economic area around Delhi.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068251ae48190af8201d5f9ad35b6 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a5cf7008190a24ecfeab5acb583 completed March 28, 2026, 12:01 a.m.
Created at: March 22, 2026, 4:32 p.m.