Triple

T14288348
Position Surface form Disambiguated ID Type / Status
Subject La Plagne E354237 entity
Predicate connectedTo P37 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: [La Plagne, connectedTo, Les Arcs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Arcs
Context triple: [La Plagne, connectedTo, 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 the widely used French nickname for Paris Saint-Germain Football Club and its players, emphasizing their identity as representatives of Paris.
  • E. Les Parisiens
    Les Parisiens is a French drama film that follows the intersecting lives and emotional struggles of various characters in contemporary 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de698023288190b1d705235c2b2ca3 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1e14d4819091c381f96c43c58b completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.