Triple
T19350018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Breuleux |
E483989
|
entity |
| Predicate | hasNeighbor |
P5707
|
FINISHED |
| Object | La Chaux-des-Breuleux |
—
|
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: La Chaux-des-Breuleux | Statement: [Les Breuleux, hasNeighbor, La Chaux-des-Breuleux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Chaux-des-Breuleux Context triple: [Les Breuleux, hasNeighbor, La Chaux-des-Breuleux]
-
A.
La Chaux-des-Breuleux
chosen
La Chaux-des-Breuleux is a small rural municipality in the canton of Jura in northwestern Switzerland, known for its location on the Franches-Montagnes plateau.
-
B.
Gueugnon
Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
-
C.
Charvonnex
Charvonnex is a small commune in southeastern France, located in the Haute-Savoie department within the Auvergne-Rhône-Alpes region.
-
D.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
-
E.
Villeroux
Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190381c081909c747a22422fb02c |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.