Triple

T22828496
Position Surface form Disambiguated ID Type / Status
Subject Begumganj Upazila E565728 entity
Predicate administrativeCenter P1474 FINISHED
Object Choumuhani NE NERFINISHED

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: Choumuhani | Statement: [Begumganj Upazila, administrativeCenter, Choumuhani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Choumuhani
Context triple: [Begumganj Upazila, administrativeCenter, Choumuhani]
  • A. Choumuhani chosen
    Choumuhani is a town in southeastern Bangladesh that serves as an important local commercial and administrative center in Noakhali District.
  • B. Hachuamish
    Hachuamish is a traditional clan or band within the Duwamish people, an Indigenous Coast Salish group native to the Seattle area of Washington State.
  • C. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • D. Chimariko
    Chimariko is an extinct Native American language once spoken by the Chimariko people in northwestern California.
  • E. Danchimah
    Danchimah is a surname of likely African origin, associated with individuals such as Godfrey Danchimah.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2a0e308190941064965346f890 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.