Triple

T7514964
Position Surface form Disambiguated ID Type / Status
Subject Bhola District E177615 entity
Predicate division P889 FINISHED
Object Barisal Division E188443 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: Barisal Division | Statement: [Bhola District, division, Barisal Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barisal Division
Context triple: [Bhola District, division, Barisal Division]
  • A. Barisal Division chosen
    Barisal Division is an administrative region in southern Bangladesh known for its extensive river networks and deltaic landscape.
  • B. 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.
  • C. Sylhet Division
    Sylhet Division is an administrative region in northeastern Bangladesh known for its tea gardens, lush hills, and significant cultural and economic importance.
  • D. Dhaka Division
    Dhaka Division is an administrative region in central Bangladesh that includes the nation’s capital and serves as a major political, economic, and cultural hub.
  • E. 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.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f44dd48190b2b093aab9a196c8 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac837f948190895d136cf96951e7 completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 3:45 p.m.