Triple

T12838639
Position Surface form Disambiguated ID Type / Status
Subject French Alps E306984 entity
Predicate hasResort P4287 FINISHED
Object Les Arcs E326906 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: Les Arcs | Statement: [French Alps, hasResort, Les Arcs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Arcs
Context triple: [French Alps, hasResort, Les Arcs]
  • A. Les Arcs chosen
    Les Arcs is a major French ski resort in the Alps, renowned for its extensive slopes, modern purpose-built villages, and access to the Paradiski ski area.
  • B. Les Arcs
    Les Arcs is a commune in southeastern France known for its medieval village center and location in the Var department of the Provence-Alpes-Côte d’Azur region.
  • C. Les Courtilles
    Les Courtilles is a Paris Métro station that serves as one of the termini of Line 13 in the northwestern suburbs of the city.
  • D. Les Parisiens
    Les Parisiens is a French drama film that follows the intersecting lives and emotional struggles of various characters in contemporary Paris.
  • E. Les Parisiens
    Les Parisiens is the widely used French nickname for Paris Saint-Germain Football Club and its players, emphasizing their identity as representatives of Paris.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff11b4481909fb2f92c46186853 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edd30e881909062e8f91f614990 completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:35 p.m.