Triple

T12419898
Position Surface form Disambiguated ID Type / Status
Subject Bhairab River E296739 entity
Predicate flowsThrough P225 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: [Bhairab River, flowsThrough, Satkhira District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satkhira District
Context triple: [Bhairab River, flowsThrough, 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. 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. Brahmanbaria District
    Brahmanbaria District is an administrative region in eastern Bangladesh known for its cultural heritage and historical significance.
  • D. Bagerhat District
    Bagerhat District is a southwestern district of Bangladesh known for its historic mosques and UNESCO World Heritage–listed medieval city.
  • E. 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.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6efd748190a5d9396a343e41e1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f002b7c81909ee9d4ea3ea6d5f2 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.