Triple
T12500541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château-d'Oex |
E298806
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Rossinière |
E669502
|
NE FINISHED |
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: Rossinière | Statement: [Château-d'Oex, hasNearbyTown, Rossinière]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rossinière Context triple: [Château-d'Oex, hasNearbyTown, Rossinière]
-
A.
Rossinière
chosen
Rossinière is a picturesque Swiss village in the canton of Vaud, known for its traditional wooden chalets and alpine scenery.
-
B.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
C.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
-
D.
Roquebillière
Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
-
E.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfbb2a48190a231b02cfa990565 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb38e048190bbc96244b71953b6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.