Triple

T22827110
Position Surface form Disambiguated ID Type / Status
Subject Haut-Nkam E565689 entity
Predicate administrativeCenter P1474 FINISHED
Object Bafang 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: Bafang | Statement: [Haut-Nkam, administrativeCenter, Bafang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bafang
Context triple: [Haut-Nkam, administrativeCenter, Bafang]
  • A. Bafang chosen
    Bafang is a significant urban center in western Cameroon known for its role as an administrative and commercial hub in the region.
  • B. Wheel Productions
    Wheel Productions is a film production company best known for producing the French drama "Bonjour Tristesse."
  • C. Velous
    Velous is an American producer, songwriter, and recording artist known for his work in hip-hop and R&B, including contributions to major tracks like Kanye West’s “All Day.”
  • D. Hampsten Cycles
    Hampsten Cycles is a boutique bicycle company known for its high-end, custom road and gravel bikes, founded by former professional cyclist Andy Hampsten.
  • E. Roval
    Roval is a hybrid racetrack configuration that combines elements of a traditional oval speedway with an infield road course, creating a unique challenge for motorsports events.
  • 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_69f17e2832b8819091c1dfd2cd598b90 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.