Triple

T18271409
Position Surface form Disambiguated ID Type / Status
Subject 1992 Winter Paralympics E437623 entity
Predicate mainVenue P373 FINISHED
Object Albertville 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: Albertville | Statement: [1992 Winter Paralympics, mainVenue, Albertville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albertville
Context triple: [1992 Winter Paralympics, mainVenue, Albertville]
  • A. Albertville chosen
    Albertville is a town in southeastern France best known internationally for hosting the 1992 Winter Olympics.
  • B. Albertville
    Albertville is the former colonial name of the city now known as Kalemie, located on the western shore of Lake Tanganyika in the Democratic Republic of the Congo.
  • C. Unienville
    Unienville is a small commune in the Aube department of north-central France.
  • D. Vimont
    Vimont is the namesake of the Prix Peccot-Vimont, a French mathematical prize awarded by the Collège de France to recognize promising young mathematicians.
  • E. Fullerville
    Fullerville is a historic mill village and former industrial community that is now a notable historic site within Villa Rica, Georgia.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff7e00548190a28916a696831336 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.