Triple
T21903574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecublens |
E540871
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Renens |
—
|
NE NERFINISHED |
How this triple was built (2 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: Renens | Statement: [Ecublens, neighboringMunicipality, Renens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renens Context triple: [Ecublens, neighboringMunicipality, Renens]
-
A.
Renens
chosen
Renens is a municipality in the canton of Vaud in western Switzerland, forming part of the Lausanne urban area.
-
B.
Broye-Vully
Broye-Vully is an administrative district in the canton of Vaud in western Switzerland, known for its rural landscapes, agriculture, and wine-producing areas.
-
C.
Val-de-Ruz
Val-de-Ruz is a municipality and valley region in the canton of Neuchâtel in western Switzerland, known for its rural landscapes and proximity to the Jura Mountains.
-
D.
Collonge-Bellerive
Collonge-Bellerive is a lakeside municipality in western Switzerland known for its residential character and location on the southern shore of Lake Geneva.
-
E.
Corseaux
Corseaux is a small Swiss municipality on the shores of Lake Geneva in the canton of Vaud, known for its scenic setting and residential character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d3c23081908c30c3a617002389 |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:25 p.m.