Triple

T10215406
Position Surface form Disambiguated ID Type / Status
Subject Massif des Bauges E242427 entity
Predicate containsVillage P4011 FINISHED
Object Lescheraines
Lescheraines is a small French village in the Savoie department of southeastern France, situated within the Alpine regional nature area of the Bauges.
 E850044 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: Lescheraines | Statement: [Massif des Bauges, containsVillage, Lescheraines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lescheraines
Context triple: [Massif des Bauges, containsVillage, Lescheraines]
  • A. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • B. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • C. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • D. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • E. Marloie
    Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • 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: Lescheraines
Triple: [Massif des Bauges, containsVillage, Lescheraines]
Generated description
Lescheraines is a small French village in the Savoie department of southeastern France, situated within the Alpine regional nature area of the Bauges.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lescheraines
Target entity description: Lescheraines is a small French village in the Savoie department of southeastern France, situated within the Alpine regional nature area of the Bauges.
  • A. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • B. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • C. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • D. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • E. Marloie
    Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa2894d0819095704449ecc2db6c completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652f1ffb88190986ea53749fc5e03 completed April 8, 2026, 1:06 p.m.
NEDg Description generation batch_69d656d55ff481909b84c033aa0f0fc2 completed April 8, 2026, 1:23 p.m.
NED2 Entity disambiguation (via description) batch_69d658a657488190ab08071889af4fb6 completed April 8, 2026, 1:31 p.m.
Created at: April 6, 2026, 11:04 a.m.