Triple

T9886342
Position Surface form Disambiguated ID Type / Status
Subject Khulna Division E180941 entity
Predicate containsCity P294 FINISHED
Object Jhenaidah E563322 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: Jhenaidah | Statement: [Khulna Division, containsCity, Jhenaidah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jhenaidah
Context triple: [Khulna Division, containsCity, Jhenaidah]
  • A. Jhenaidah District chosen
    Jhenaidah District is an administrative region in southwestern Bangladesh known for its agricultural economy and location within the Khulna Division.
  • B. Noakhali
    Noakhali is a coastal district in southeastern Bangladesh, historically part of the Bengal region and known for its agrarian economy and vulnerability to cyclones and river erosion.
  • C. Khulna District
    Khulna District is an administrative region in southwestern Bangladesh known for its proximity to the Sundarbans mangrove forest and its role as an important industrial and riverine hub.
  • D. Satkhira District
    Satkhira District is a southwestern district of Bangladesh known for its proximity to the Sundarbans mangrove forest and its border with India.
  • E. Khulna
    Khulna is a major industrial and port city in southwestern Bangladesh, situated on the Rupsha and Bhairab rivers and serving as a key gateway to the Sundarbans mangrove forest.
  • 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_69d22891cb4c8190b4d378749599bdda completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:38 p.m.