Triple
T21640154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weissmies |
E534070
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Saas-Almagell |
—
|
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: Saas-Almagell | Statement: [Weissmies, locatedNear, Saas-Almagell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saas-Almagell Context triple: [Weissmies, locatedNear, Saas-Almagell]
-
A.
Saas-Almagell
chosen
Saas-Almagell is a small alpine village and ski resort in the Swiss canton of Valais, known for its scenic mountain landscapes and outdoor recreation.
-
B.
Merak
Merak is a prominent star in the constellation Ursa Major, known as one of the "pointer" stars that help locate Polaris, the North Star.
-
C.
Merak
Merak is a major port town in western Java, Indonesia, serving as a key ferry gateway between Java and Sumatra.
-
D.
Dubhe
Dubhe is a prominent orange giant star in the constellation Ursa Major and one of the two "pointer" stars that help locate Polaris, the North Star.
-
E.
Meissa
Meissa is a multiple-star system that marks the head of the constellation Orion and serves as one of its prominent stellar features.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5390ba7481908f58230779e5b7bb |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.