Triple
T23495241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chute du Doubs |
E571687
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Les Brenets |
—
|
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: Les Brenets | Statement: [Chute du Doubs, locatedNear, Les Brenets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Brenets Context triple: [Chute du Doubs, locatedNear, Les Brenets]
-
A.
Les Brenets
chosen
Les Brenets is a small Swiss village in the canton of Neuchâtel, known for its scenic lakeside setting and proximity to the dramatic Doubs River gorge on the French border.
-
B.
Bourcains
Bourcains are the inhabitants of Bourg-lès-Valence, a commune in the Drôme department of southeastern France.
-
C.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
-
D.
Bollaert
Bollaert is the commonly used nickname for Stade Bollaert-Delelis, the historic football stadium in Lens, France.
-
E.
Roisséens
Roisséens are the inhabitants of Roissy-en-France, a commune in the northeastern suburbs of Paris near Charles de Gaulle Airport.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7def8ac8190ade511299078d55b |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:05 p.m.