Triple

T4958275
Position Surface form Disambiguated ID Type / Status
Subject Tarentaise Valley E111340 entity
Predicate contains P35 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: [Tarentaise Valley, contains, Les Arcs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Arcs
Context triple: [Tarentaise Valley, contains, 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 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.
  • C. 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.
  • D. Les Ulis
    Les Ulis is a suburban commune in the southern outskirts of Paris, France, known for its planned urban layout and residential neighborhoods.
  • E. Cusset
    Cusset is a residential and commercial district in the eastern part of Villeurbanne, near Lyon in eastern France.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d834c0819087f3faafdc9b4228 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81e144a08190b66bf07e09b6ff55 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:32 p.m.