Triple

T16769676
Position Surface form Disambiguated ID Type / Status
Subject Kisan language E407558 entity
Predicate hasSpeakersIn P16679 FINISHED
Object Gumla district E793664 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: Gumla district | Statement: [Kisan language, hasSpeakersIn, Gumla district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gumla district
Context triple: [Kisan language, hasSpeakersIn, Gumla district]
  • A. Gumla district chosen
    Gumla district is an administrative region in the Indian state of Jharkhand, known for its significant indigenous population and rich tribal cultures.
  • B. Kandhamal district
    Kandhamal district is a region in the Indian state of Odisha known for its indigenous tribal communities, cultural diversity, and forested hilly terrain.
  • 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. Palamu district
    Palamu district is an administrative district in the Indian state of Jharkhand, known for its forests, wildlife sanctuary, and historical forts.
  • E. 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.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0356a9c8190b316cd00223e7537 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a533e83481909966a7b86c8c8e64 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.