Triple

T20170945
Position Surface form Disambiguated ID Type / Status
Subject Northern Coalfields Limited E491955 entity
Predicate headquartersLocation P62 FINISHED
Object Singrauli 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: Singrauli | Statement: [Northern Coalfields Limited, headquartersLocation, Singrauli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singrauli
Context triple: [Northern Coalfields Limited, headquartersLocation, Singrauli]
  • A. Singrauli chosen
    Singrauli is a major industrial and energy hub in central India, known for its extensive coal mining operations and large thermal power plants.
  • B. Bhor
    Bhor is a small town in Maharashtra, India, known for its scenic surroundings in the Western Ghats and proximity to Pune.
  • C. Melghat
    Melghat is a legislative assembly constituency in Maharashtra, India, known for its predominantly tribal population and forested, hilly terrain.
  • D. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • E. Satpura region
    The Satpura region is a hilly, forested plateau area in central India known for its rich biodiversity, tribal communities, and the Satpura Range that runs through states like Madhya Pradesh and Maharashtra.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66848ae3c8190aa5fde66da35a89a completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.