Triple

T23361388
Position Surface form Disambiguated ID Type / Status
Subject Extrême-Nord E593192 entity
Predicate hasCity P316 FINISHED
Object Yagoua 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: Yagoua | Statement: [Extrême-Nord, hasCity, Yagoua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yagoua
Context triple: [Extrême-Nord, hasCity, Yagoua]
  • A. Yagoua
    Yagoua is an alternative name for the Masa people, an ethnic group primarily living along the Logone River in Cameroon and Chad.
  • B. Yagoua chosen
    Yagoua is a town and commune in northern Cameroon, serving as an important local administrative and commercial center near the Logone River and the Chadian border.
  • C. Goura
    Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
  • D. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • E. Baguia
    Baguia is a remote mountainous region and administrative post in eastern Timor-Leste known for its traditional villages and rugged landscapes.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0a8669c819098b88ae6712e3f88 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:30 p.m.