Triple

T19254728
Position Surface form Disambiguated ID Type / Status
Subject Rewa division E481484 entity
Predicate containsDistrict P22582 FINISHED
Object Sidhi district 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: Sidhi district | Statement: [Rewa division, containsDistrict, Sidhi district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidhi district
Context triple: [Rewa division, containsDistrict, Sidhi district]
  • A. Sidhi district chosen
    Sidhi district is an administrative district in the Indian state of Madhya Pradesh, known for its coal mining areas and part of the Singrauli region.
  • B. Simdega district
    Simdega district is an administrative region in the Indian state of Jharkhand known for its significant indigenous population and use of tribal languages such as Kharia.
  • C. Satna district
    Satna district is an administrative district in the Indian state of Madhya Pradesh, known for its cement industries and proximity to important historical and religious sites.
  • D. Shivpuri district
    Shivpuri district is an administrative district in the central Indian state of Madhya Pradesh, known for its forests, wildlife sanctuaries, and historical sites.
  • E. Durg district
    Durg district is an administrative district in the state of Chhattisgarh, India, known for its industrial development and urban centers such as the city of Durg.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3459d08190a7c28ed3f8c82a97 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:28 p.m.