Triple

T8073892
Position Surface form Disambiguated ID Type / Status
Subject Barisal Division E188443 entity
Predicate hasDistrict P459 FINISHED
Object Bhola District E180009 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: Bhola District | Statement: [Barisal Division, hasDistrict, Bhola District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhola District
Context triple: [Barisal Division, hasDistrict, Bhola District]
  • A. Bhola District chosen
    Bhola District is a coastal district in southern Bangladesh, known for being the country’s largest island district and for its location in the Meghna River delta.
  • B. Darbhanga district
    Darbhanga district is a region in the northern part of Bihar, India, known as a cultural and historical center of the Mithila area.
  • C. Barguna District
    Barguna District is a coastal administrative region in southern Bangladesh known for its location along the Bay of Bengal and vulnerability to cyclones and flooding.
  • D. Lakshmipur District
    Lakshmipur District is a coastal administrative region in southeastern Bangladesh, known for its riverine landscape, agriculture, and proximity to the Meghna estuary.
  • E. Kurigram District
    Kurigram District is a northern administrative region of Bangladesh known for its rural landscape along the Brahmaputra River and frequent flooding.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404a98408190b6c8eecb95ad086d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe67d9dc8190ad72e3f5ce7478e3 completed April 1, 2026, 6:42 a.m.
Created at: March 30, 2026, 5:27 p.m.