Triple

T11964473
Position Surface form Disambiguated ID Type / Status
Subject Sehore district E284756 entity
Predicate borderedBy P224 FINISHED
Object Hoshangabad district E281914 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: Hoshangabad district | Statement: [Sehore district, borderedBy, Hoshangabad district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoshangabad district
Context triple: [Sehore district, borderedBy, Hoshangabad district]
  • A. Hoshangabad district chosen
    Hoshangabad district is an administrative region in the central Indian state of Madhya Pradesh, known for its agricultural landscape along major rivers and its proximity to the Satpura hill ranges.
  • B. Ganjam district
    Ganjam district is a coastal administrative region in the Indian state of Odisha, known for its rich cultural heritage, distinctive Odia dialects, and historical significance.
  • C. Bhandara district
    Bhandara district is an administrative district in the Indian state of Maharashtra, located in the Vidarbha region and known for its rice production and lakes.
  • D. Shivpuri district
    Shivpuri district is an administrative district in the central Indian state of Madhya Pradesh, known for its forests, wildlife sanctuaries, and historical sites.
  • E. Kharwar District
    Kharwar District is an administrative district in eastern Afghanistan, located within Logar Province.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903799f948190a5dc4d3822f3ff27 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66849ba888190a50c5a5fcdb935e0 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:45 p.m.