Triple

T7380036
Position Surface form Disambiguated ID Type / Status
Subject Durg E170223 entity
Predicate isDistrictHeadquartersOf P15001 FINISHED
Object Durg district E662177 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: Durg district | Statement: [Durg, isDistrictHeadquartersOf, Durg district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durg district
Context triple: [Durg, isDistrictHeadquartersOf, Durg district]
  • A. Durg district chosen
    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.
  • B. Sidhi district
    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.
  • C. Narmada district
    Narmada district is an administrative district in the state of Gujarat, India, known for the Narmada River and the Statue of Unity near Kevadia.
  • D. 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.
  • E. Dantewada district
    Dantewada district is a mineral-rich, predominantly tribal district in the southern part of Chhattisgarh, India, known for both its dense forests and its history of Maoist insurgency.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1c61484819087874d4e7f9fd791 completed March 27, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ecb9b0481908af841456bce5430 completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:08 p.m.