Triple

T10618243
Position Surface form Disambiguated ID Type / Status
Subject Khortha E295178 entity
Predicate hasRegion P285 FINISHED
Object Dhanbad district E314955 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: Dhanbad district | Statement: [Khortha, hasRegion, Dhanbad district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhanbad district
Context triple: [Khortha, hasRegion, Dhanbad district]
  • A. Bokaro district
    Bokaro district is an administrative region in the Indian state of Jharkhand known for its rich coal reserves and major industrial and mining activities.
  • B. Ranchi district
    Ranchi district is an administrative district in the Indian state of Jharkhand, centered around the city of Ranchi, which serves as the state capital.
  • C. Dumka district
    Dumka district is an administrative district in the Indian state of Jharkhand, known for its tribal population, hilly terrain, and the town of Dumka serving as its headquarters.
  • D. Sitamarhi district
    Sitamarhi district is an administrative region in the Indian state of Bihar, known for its cultural heritage and association with the Maithili-speaking Mithila region.
  • E. Dhanbad chosen
    Dhanbad is a major industrial city in eastern India, widely known as the "Coal Capital of India" for its extensive coal mining operations.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d6df6ee1848190a7d5fcd40b06cfe3 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d988474cf0819087516026fd249640 completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 8:19 p.m.