Triple

T19734842
Position Surface form Disambiguated ID Type / Status
Subject Umaria district E473951 entity
Predicate borders P224 FINISHED
Object Katni 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: Katni district | Statement: [Umaria district, borders, Katni district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katni district
Context triple: [Umaria district, borders, Katni district]
  • A. Katni district chosen
    Katni district is an administrative district in the state of Madhya Pradesh, India, known for its rich mineral resources and significant railway junction.
  • B. Unakoti district
    Unakoti district is an administrative district in the northeastern Indian state of Tripura, known for its historic rock-cut sculptures and archaeological significance.
  • C. Katete District
    Katete District is an administrative region in Zambia’s Eastern Province, known for its agricultural communities and its location along the key Great East Road corridor.
  • D. Chepo District
    Chepo District is an administrative district in eastern Panama known for its rural communities, agricultural activities, and role as a gateway to the Darién region.
  • E. Loralai District
    Loralai District is an administrative district in northeastern Balochistan, Pakistan, known for its predominantly Pashtun population and mountainous terrain.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515d138c8190a4c4d112ed5756a3 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.