Triple
T17826808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collombey-Muraz |
E445138
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Collombey |
—
|
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: Collombey | Statement: [Collombey-Muraz, hasSettlement, Collombey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collombey Context triple: [Collombey-Muraz, hasSettlement, Collombey]
-
A.
Collombey-Muraz
chosen
Collombey-Muraz is a municipality in the canton of Valais in southwestern Switzerland, known for its industrial facilities and location in the Rhône valley near Monthey.
-
B.
Chassieu
Chassieu is a commune in the Metropolis of Lyon in eastern France, known for its residential areas and proximity to the Lyon urban center.
-
C.
Cugny
Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
D.
Plombières
Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
-
E.
Libercourt
Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48914e20481908883d1da194f446c |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.