Triple

T7682371
Position Surface form Disambiguated ID Type / Status
Subject Chittagong Division E174026 entity
Predicate containsRiver P165 FINISHED
Object Feni River E384464 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: Feni River | Statement: [Chittagong Division, containsRiver, Feni River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feni River
Context triple: [Chittagong Division, containsRiver, Feni River]
  • A. Feni River chosen
    The Feni River is a transboundary river in South Asia that flows through the Indian state of Tripura into Bangladesh before emptying into the Bay of Bengal.
  • B. Dhaleswari River
    The Dhaleswari River is a river in northeastern India and Bangladesh that forms part of the Meghna river system and supports local agriculture, fisheries, and transportation.
  • C. Bhairab River
    The Bhairab River is a significant waterway in southwestern Bangladesh that supports transportation, agriculture, and the regional economy around cities such as Khulna.
  • D. Jatinga River
    Jatinga River is a tributary watercourse in northeastern India that feeds into the Barak River system.
  • E. Bindal River
    Bindal River is a small seasonal river flowing through Dehradun in Uttarakhand, India, known for its role in local drainage and frequent urban flooding concerns.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70201387c8190afc8479b5a9e21e8 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d05422b25c819098189ac202c20123 completed April 3, 2026, 11:58 p.m.
Created at: March 27, 2026, 4:01 p.m.