Triple

T20498217
Position Surface form Disambiguated ID Type / Status
Subject Sylhet Agricultural University E503228 entity
Predicate region P40 FINISHED
Object Sylhet 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: Sylhet Division | Statement: [Sylhet Agricultural University, region, Sylhet Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylhet Division
Context triple: [Sylhet Agricultural University, region, Sylhet Division]
  • A. Sylhet Division chosen
    Sylhet Division is an administrative region in northeastern Bangladesh known for its tea gardens, lush hills, and significant cultural and economic importance.
  • 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. 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. 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.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbff210819089900e9a35911f48 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.