Triple

T19172595
Position Surface form Disambiguated ID Type / Status
Subject Betul district E469361 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: [Betul district, borderedBy, Hoshangabad district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoshangabad district
Context triple: [Betul 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16544948190bd10ca7804dd27a5 completed April 20, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07d4212b448190952cbd0e9772f115 completed May 16, 2026, 2:19 a.m.
Created at: April 10, 2026, 12:06 p.m.