Triple

T22952563
Position Surface form Disambiguated ID Type / Status
Subject Khulna District E570057 entity
Predicate borderedBy P224 FINISHED
Object Narail District 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: Narail District | Statement: [Khulna District, borderedBy, Narail District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narail District
Context triple: [Khulna District, borderedBy, Narail District]
  • A. Narail District chosen
    Narail District is an administrative district in southwestern Bangladesh, known for its rivers, agriculture, and cultural heritage.
  • B. Lakshmipur District
    Lakshmipur District is a coastal administrative region in southeastern Bangladesh, known for its riverine landscape, agriculture, and proximity to the Meghna estuary.
  • C. Natore District
    Natore District is an administrative region in northern Bangladesh known for its agricultural economy, historical sites, and proximity to the city of Rajshahi.
  • D. Nilphamari District
    Nilphamari District is an administrative district in northern Bangladesh known for its agricultural economy and location within the Rangpur region.
  • E. Bandarban District
    Bandarban District is a scenic, mountainous district in southeastern Bangladesh known for its indigenous communities, lush forests, and popular trekking destinations.
  • 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.