Triple

T22952555
Position Surface form Disambiguated ID Type / Status
Subject Khulna District E570057 entity
Predicate locatedIn P40 FINISHED
Object Khulna Division 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: Khulna Division | Statement: [Khulna District, locatedIn, Khulna Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khulna Division
Context triple: [Khulna District, locatedIn, Khulna Division]
  • A. Khulna Division chosen
    Khulna Division is an administrative region in southwestern Bangladesh known for the city of Khulna and its proximity to the Sundarbans mangrove forest.
  • B. Khulna District
    Khulna District is an administrative region in southwestern Bangladesh known for its proximity to the Sundarbans mangrove forest and its role as an important industrial and riverine hub.
  • C. Barisal Division
    Barisal Division is an administrative region in southern Bangladesh known for its extensive river networks and deltaic landscape.
  • D. Chittagong Division
    Chittagong Division is a major administrative region in southeastern Bangladesh known for its key port city, hilly landscapes, and significant rivers and waterways.
  • E. Rangpur Division
    Rangpur Division is an administrative region in northern Bangladesh known for its agricultural economy, historic towns, and location along major rivers including the Teesta.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a34c30819099ff4812500a0991 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.