Triple

T7081414
Position Surface form Disambiguated ID Type / Status
Subject Tolochenaz E164963 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Préverenges
Préverenges is a Swiss municipality on the shores of Lake Geneva in the canton of Vaud, known for its lakeside setting and residential character.
 E641230 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: Préverenges | Statement: [Tolochenaz, neighboringMunicipality, Préverenges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Préverenges
Context triple: [Tolochenaz, neighboringMunicipality, Préverenges]
  • A. Garmes
    Garmes is a surname most notably associated with Lee Garmes, an influential American cinematographer of Hollywood’s classic era.
  • B. Bresse
    Bresse is a historical region in eastern France known for its rich agricultural land, distinctive culinary traditions, and cultural ties to the Franco-Provençal linguistic area.
  • C. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • D. Cuiseaux
    Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
  • E. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • 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: Préverenges
Triple: [Tolochenaz, neighboringMunicipality, Préverenges]
Generated description
Préverenges is a Swiss municipality on the shores of Lake Geneva in the canton of Vaud, known for its lakeside setting and residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Préverenges
Target entity description: Préverenges is a Swiss municipality on the shores of Lake Geneva in the canton of Vaud, known for its lakeside setting and residential character.
  • A. Garmes
    Garmes is a surname most notably associated with Lee Garmes, an influential American cinematographer of Hollywood’s classic era.
  • B. Bresse
    Bresse is a historical region in eastern France known for its rich agricultural land, distinctive culinary traditions, and cultural ties to the Franco-Provençal linguistic area.
  • C. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • D. Cuiseaux
    Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
  • E. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4f1f5748190b214856bcfc70d81 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79477a79c81909b51175a24d17142 completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c798cd9e4c8190a9dc1176d60d2cf6 completed March 28, 2026, 9:01 a.m.
NED2 Entity disambiguation (via description) batch_69c799fae8608190b0cd94d59ab589a4 completed March 28, 2026, 9:06 a.m.
Created at: March 27, 2026, 2:40 p.m.