Triple

T879459
Position Surface form Disambiguated ID Type / Status
Subject Madhya Pradesh E18993 entity
Predicate hasMajorCity P316 FINISHED
Object Barwani E58841 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: Barwani | Statement: [Madhya Pradesh, hasMajorCity, Barwani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barwani
Context triple: [Madhya Pradesh, hasMajorCity, Barwani]
  • A. Barwani chosen
    Barwani is a town in the Indian state of Madhya Pradesh, known for its proximity to the Narmada River and its surrounding hilly, forested landscape.
  • B. Anuppur
    Anuppur is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to coal mining areas and natural attractions.
  • C. Chhindwara
    Chhindwara is a prominent city in central India known for its agricultural produce, tribal culture, and growing industrial and educational hubs within Madhya Pradesh.
  • D. Alirajpur
    Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
  • E. Vidisha
    Vidisha is a historic city in the central Indian state of Madhya Pradesh, known for its ancient Buddhist and Hindu heritage and archaeological sites.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acc9d5f4819087afbb75b6ac3dbf completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbad10ae48190af7dcaa8dfff30ec completed March 7, 2026, 11:54 p.m.
Created at: March 1, 2026, 7:39 p.m.