Triple
T11601997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moudon |
E275152
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Villars-le-Comte
Villars-le-Comte is a small rural municipality in the canton of Vaud in western Switzerland.
|
E952677
|
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: Villars-le-Comte | Statement: [Moudon, hasNeighbouringMunicipality, Villars-le-Comte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villars-le-Comte Context triple: [Moudon, hasNeighbouringMunicipality, Villars-le-Comte]
-
A.
Coppet
Coppet is a Swiss lakeside town on Lake Geneva in the canton of Vaud, known for its historic château and role as a regional transport hub.
-
B.
Cugny
Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
C.
Champéry
Champéry is a Swiss alpine village and ski resort in the canton of Valais, known for its access to the Portes du Soleil ski area and mountain tourism.
-
D.
Saignelégier
Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
-
E.
Voiron
Voiron is a commune in southeastern France known for its historical town center and proximity to the Chartreuse Mountains.
- 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: Villars-le-Comte Triple: [Moudon, hasNeighbouringMunicipality, Villars-le-Comte]
Generated description
Villars-le-Comte is a small rural municipality in the canton of Vaud in western Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villars-le-Comte Target entity description: Villars-le-Comte is a small rural municipality in the canton of Vaud in western Switzerland.
-
A.
Coppet
Coppet is a Swiss lakeside town on Lake Geneva in the canton of Vaud, known for its historic château and role as a regional transport hub.
-
B.
Cugny
Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
C.
Champéry
Champéry is a Swiss alpine village and ski resort in the canton of Valais, known for its access to the Portes du Soleil ski area and mountain tourism.
-
D.
Saignelégier
Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
-
E.
Voiron
Voiron is a commune in southeastern France known for its historical town center and proximity to the Chartreuse Mountains.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8954daa908190a8d532e43aa4a881 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4171833948190adafe71ab0d9d2de |
completed | May 1, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_69f41f16f43c81909f5d36e8b4b0b9c3 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4225a4b5c8190958aaddbd10035b1 |
completed | May 1, 2026, 3:47 a.m. |
Created at: April 8, 2026, 9:38 p.m.