Triple

T20940243
Position Surface form Disambiguated ID Type / Status
Subject Faoug E515698 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Salavaux
Salavaux is a village and former municipality in the canton of Vaud in western Switzerland, situated near Lake Morat (Murtensee).
E1457727 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: Salavaux | Statement: [Faoug, hasNeighboringMunicipality, Salavaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salavaux
Context triple: [Faoug, hasNeighboringMunicipality, Salavaux]
  • A. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • B. Sorvilier
    Sorvilier is a small municipality in the French-speaking Bernese Jura region of the canton of Bern in Switzerland.
  • C. Lépaud
    Lépaud is a small rural commune in central France’s Creuse department, known for its traditional countryside setting within the Nouvelle-Aquitaine region.
  • D. Laveissière
    Laveissière is a small commune in the Cantal department of south-central France, situated in the mountainous Auvergne region.
  • E. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • 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: Salavaux
Triple: [Faoug, hasNeighboringMunicipality, Salavaux]
Generated description
Salavaux is a village and former municipality in the canton of Vaud in western Switzerland, situated near Lake Morat (Murtensee).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Salavaux
Target entity description: Salavaux is a village and former municipality in the canton of Vaud in western Switzerland, situated near Lake Morat (Murtensee).
  • A. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • B. Sorvilier
    Sorvilier is a small municipality in the French-speaking Bernese Jura region of the canton of Bern in Switzerland.
  • C. Lépaud
    Lépaud is a small rural commune in central France’s Creuse department, known for its traditional countryside setting within the Nouvelle-Aquitaine region.
  • D. Laveissière
    Laveissière is a small commune in the Cantal department of south-central France, situated in the mountainous Auvergne region.
  • E. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f954e44481909098a0b23a687d5e completed April 21, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a091fd8a17c819089f7af8ff6048ece completed May 17, 2026, 1:54 a.m.
NEDg Description generation batch_6a09210bde4c8190841af0f9a29ecdd9 completed May 17, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a09217fdcd08190bc41700ec09851e1 completed May 17, 2026, 2:01 a.m.
Created at: April 16, 2026, 12:50 p.m.