Triple

T22314500
Position Surface form Disambiguated ID Type / Status
Subject Malwa-Nimar region E551606 entity
Predicate majorCity P316 FINISHED
Object Khargone E151925 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: Khargone | Statement: [Malwa-Nimar region, majorCity, Khargone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khargone
Context triple: [Malwa-Nimar region, majorCity, Khargone]
  • A. Khargone chosen
    Khargone is a city in western Madhya Pradesh, India, known as an agricultural and commercial center in the Nimar region.
  • B. Limkheda
    Limkheda is a town in the Dahod district of Gujarat, India, known as a local administrative and market center for surrounding rural areas.
  • C. Khambhat
    Khambhat is a historic coastal town in Gujarat, India, known for its ancient port, trade heritage, and distinctive gulf on the Arabian Sea.
  • D. Jhabua
    Jhabua is a town and administrative district headquarters in western Madhya Pradesh, India, known for its significant tribal population and culture.
  • E. Chandkheda
    Chandkheda is a residential and industrial locality in the northwestern part of Ahmedabad, Gujarat, known for its proximity to major infrastructure and educational institutions.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15751bf208190b8938a00d1afd157 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17cbf58481909f01faefd9c561b5 completed May 18, 2026, 1:44 p.m.
Created at: April 16, 2026, 8:42 p.m.