Triple

T9886348
Position Surface form Disambiguated ID Type / Status
Subject Khulna Division E180941 entity
Predicate containsDistrict P22582 FINISHED
Object Bagerhat District E667937 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: Bagerhat District | Statement: [Khulna Division, containsDistrict, Bagerhat District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagerhat District
Context triple: [Khulna Division, containsDistrict, Bagerhat District]
  • A. Bagerhat District chosen
    Bagerhat District is a southwestern district of Bangladesh known for its historic mosques and UNESCO World Heritage–listed medieval city.
  • B. Patuakhali District
    Patuakhali District is a coastal administrative region in southern Bangladesh known for its proximity to the Bay of Bengal and vulnerability to cyclones and tidal flooding.
  • C. Satkhira District
    Satkhira District is a southwestern district of Bangladesh known for its proximity to the Sundarbans mangrove forest and its border with India.
  • D. Brahmanbaria District
    Brahmanbaria District is an administrative region in eastern Bangladesh known for its cultural heritage and historical significance.
  • E. Cumilla District
    Cumilla District is an administrative region in eastern Bangladesh known for its historical significance, cultural heritage, and role as a major urban and economic center.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45659748190a3ebd1abe23c8779 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269c58bec8190bfba07c7ef3a91f8 completed April 5, 2026, 1:55 p.m.
Created at: March 30, 2026, 8:38 p.m.