Triple

T13550851
Position Surface form Disambiguated ID Type / Status
Subject Bauges Mountains E323638 entity
Predicate near P350 FINISHED
Object Albertville E82950 NE FINISHED

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: [Bauges Mountains, near, Albertville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albertville
Context triple: [Bauges Mountains, near, 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 (3 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff0a6548190b8cde5084cef0061 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da4e19c819090d649b60a2dd410 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.