Triple

T16830117
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Annecy E409125 entity
Predicate contains P35 FINISHED
Object Les Clefs
Les Clefs is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
 E1235457 NE FINISHED

How this triple was built (4 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 Clefs | Statement: [Arrondissement of Annecy, contains, Les Clefs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Clefs
Context triple: [Arrondissement of Annecy, contains, Les Clefs]
  • A. Maison Blanche
    Maison Blanche is a Paris Métro station in the 13th arrondissement, serving as a stop on the city's Line 7.
  • B. Les Bouchères
    Les Bouchères is a named vineyard climat in the Meursault appellation of Burgundy, France, known for producing high-quality Chardonnay wines.
  • C. Les Crosets
    Les Crosets is a Swiss alpine ski resort village that forms part of the extensive Portes du Soleil ski area in the Alps.
  • D. Les Places
    Les Places is a small commune in the Eure department of the Normandy region in northern France.
  • E. Les Halles
    Les Halles is a major underground transport hub and commercial area in central Paris, historically known as the city’s main market district.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Les Clefs
Triple: [Arrondissement of Annecy, contains, Les Clefs]
Generated description
Les Clefs is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Les Clefs
Target entity description: Les Clefs is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • A. Maison Blanche
    Maison Blanche is a Paris Métro station in the 13th arrondissement, serving as a stop on the city's Line 7.
  • B. Les Bouchères
    Les Bouchères is a named vineyard climat in the Meursault appellation of Burgundy, France, known for producing high-quality Chardonnay wines.
  • C. Les Crosets
    Les Crosets is a Swiss alpine ski resort village that forms part of the extensive Portes du Soleil ski area in the Alps.
  • D. Les Places
    Les Places is a small commune in the Eure department of the Normandy region in northern France.
  • E. Les Halles
    Les Halles is a major underground transport hub and commercial area in central Paris, historically known as the city’s main market district.
  • F. None of above. chosen

Provenance (5 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b316acc881909c686add53d72388 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2a0ac148190a7a7edebcb67c040 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b35ea8f88190ae33e8a2f906d133 completed May 10, 2026, 4:33 p.m.
NED2 Entity disambiguation (via description) batch_6a00b3d14b3c819081f435777f47eca3 completed May 10, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.