Triple

T18837030
Position Surface form Disambiguated ID Type / Status
Subject Raisen district E460689 entity
Predicate borderedBy P224 FINISHED
Object Hoshangabad 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: Hoshangabad district | Statement: [Raisen district, borderedBy, Hoshangabad district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoshangabad district
Context triple: [Raisen 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 (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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99e86388190957acaaab401b5cb completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.