Triple

T20454713
Position Surface form Disambiguated ID Type / Status
Subject Jaflong E501744 entity
Predicate region P40 FINISHED
Object Sylhet region 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 region | Statement: [Jaflong, region, Sylhet region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylhet region
Context triple: [Jaflong, region, Sylhet region]
  • A. Sylhet Division
    Sylhet Division is an administrative region in northeastern Bangladesh known for its tea gardens, lush hills, and significant cultural and economic importance.
  • B. Sylhet chosen
    Sylhet is a historically and culturally significant city and region in northeastern Bangladesh, known for its tea gardens, lush landscapes, and role as a major economic and spiritual center.
  • C. Barisal Division
    Barisal Division is an administrative region in southern Bangladesh known for its extensive river networks and deltaic landscape.
  • D. 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.
  • E. Rajshahi Division
    Rajshahi Division is a major administrative region in northwestern Bangladesh, known for its agricultural productivity, historic sites, and the city of Rajshahi on the banks of the Padma River.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d04ca4081909b428c31d16fca10 completed April 20, 2026, 8:31 p.m.
Created at: April 16, 2026, 11:32 a.m.