Triple
T18291050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagnes |
E438114
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sarreyer |
—
|
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: Sarreyer | Statement: [Bagnes, contains, Sarreyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarreyer Context triple: [Bagnes, contains, Sarreyer]
-
A.
Sarreyer
chosen
Sarreyer is a small alpine village in the Swiss canton of Valais, situated within the municipality of Val de Bagnes.
-
B.
Vaudesir
Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
-
C.
Sauldre
Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
-
D.
Sarenne
Sarenne is a famous long and challenging black ski run in the Alpe d’Huez ski area in the French Alps.
-
E.
Teigne
Teigne is the traditional title held by the monarch of the Serer kingdom of Baol in what is now Senegal.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fee5248190928e68ddaa4d90d7 |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.