Triple
T21833112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saas valley |
E539049
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Saaser Vispa |
—
|
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: Saaser Vispa | Statement: [Saas valley, river, Saaser Vispa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saaser Vispa Context triple: [Saas valley, river, Saaser Vispa]
-
A.
Saaser Vispa
chosen
Saaser Vispa is a mountain river in the Swiss canton of Valais that drains the Saas Valley and feeds into the larger Vispa river system.
-
B.
Oeschgen
Oeschgen is a small Swiss municipality in the Fricktal region of the canton of Aargau.
-
C.
Schlarigna
Schlarigna is the Romansh name for the Swiss alpine village and resort town of Celerina in the Upper Engadine region of Graubünden.
-
D.
Savagnin
Savagnin is a white wine grape variety traditionally grown in France’s Jura region, known for producing distinctive, nutty, and oxidative-style wines such as vin jaune.
-
E.
Oberegg
Oberegg is a locality within the municipality of Thalgau in the Austrian state of Salzburg.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a4d2d0819088ded045caeab52d |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.