Triple

T22554556
Position Surface form Disambiguated ID Type / Status
Subject Mayo-Louti Department E557646 entity
Predicate hasCapital P204 FINISHED
Object Guider 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: Guider | Statement: [Mayo-Louti Department, hasCapital, Guider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guider
Context triple: [Mayo-Louti Department, hasCapital, Guider]
  • A. Guider chosen
    Guider is a town and commune in northern Cameroon that serves as an administrative and commercial center for the surrounding region.
  • B. Steersman
    Steersman is a minor but notable crew member aboard Daland’s ship in Richard Wagner’s opera "Der fliegende Holländer," known for his drowsy watch and brief solo scene.
  • C. Guia
    Guia is a civil parish in Portugal, known as an administrative subdivision within a Portuguese municipality.
  • D. Guida
    Guida is the feminine given name corresponding to the masculine name Guido, used primarily in Italian and related languages.
  • E. Guion
    Guion is a surname of French origin historically associated with several notable families and individuals.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f780fb88190836408c6de3d3966 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.