Triple

T641080
Position Surface form Disambiguated ID Type / Status
Subject Haute-Savoie E16739 entity
Predicate containsSkiResort P10436 FINISHED
Object Les Gets E89667 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 Gets | Statement: [Haute-Savoie, containsSkiResort, Les Gets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Gets
Context triple: [Haute-Savoie, containsSkiResort, Les Gets]
  • A. Megève
    Megève is a renowned French Alpine village celebrated as one of the country’s most elegant and historic ski resorts, known for its upscale ambiance and scenic mountain setting.
  • B. Chamonix
    Chamonix is a renowned French alpine town and ski resort in the Haute-Savoie region, famous for its dramatic mountain scenery and mountaineering history.
  • C. Morzine chosen
    Morzine is a popular Alpine village and ski resort in southeastern France, known for its extensive slopes, traditional Savoyard charm, and access to the Portes du Soleil ski area.
  • D. La Clusaz
    La Clusaz is a well-known French Alpine village and ski resort renowned for its extensive slopes and traditional mountain charm.
  • E. Meyrin
    Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a515ceb081908c064b2082047c0f completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d8cd1e481908b77e4db0b6681bf completed March 3, 2026, 5:11 a.m.
Created at: March 1, 2026, 7:36 p.m.