Triple

T7466964
Position Surface form Disambiguated ID Type / Status
Subject Khulna Division E176395 entity
Predicate containsDistrict P22582 FINISHED
Object Satkhira District E573528 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: Satkhira District | Statement: [Khulna Division, containsDistrict, Satkhira District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satkhira District
Context triple: [Khulna Division, containsDistrict, Satkhira District]
  • A. Satkhira District chosen
    Satkhira District is a southwestern district of Bangladesh known for its proximity to the Sundarbans mangrove forest and its border with India.
  • B. Brahmanbaria District
    Brahmanbaria District is an administrative region in eastern Bangladesh known for its cultural heritage and historical significance.
  • C. Bagerhat District
    Bagerhat District is a southwestern district of Bangladesh known for its historic mosques and UNESCO World Heritage–listed medieval city.
  • D. Kushtia District
    Kushtia District is an administrative region in western Bangladesh known for its cultural heritage, including the shrine of Lalon Shah and associations with Nobel laureate Rabindranath Tagore.
  • E. Kishoreganj District
    Kishoreganj District is an administrative district in central Bangladesh known for its riverine landscape, cultural heritage, and agricultural economy.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f589cc81909f25268838c7c964 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845f8b9a48190a21cac7fb98bf26d completed March 28, 2026, 9:19 p.m.
Created at: March 27, 2026, 3:40 p.m.