Triple
T17367938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visp District |
E422231
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Saas-Balen |
E429929
|
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: Saas-Balen | Statement: [Visp District, contains, Saas-Balen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saas-Balen Context triple: [Visp District, contains, Saas-Balen]
-
A.
Saas-Balen
chosen
Saas-Balen is a small Swiss mountain village in the canton of Valais, known for its alpine scenery and proximity to the popular resort of Saas-Fee.
-
B.
Saas-Grund
Saas-Grund is a Swiss alpine village and municipality in the canton of Valais, known as a gateway to the Saas Valley ski and hiking region.
-
C.
Schaal
Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
-
D.
Bontenbal
Bontenbal is a Dutch surname most notably associated with politician Henri Bontenbal.
-
E.
Silsand
Silsand is a village in northern Norway located on the island of Senja, known as a residential and service center connected by bridge to the town of Finnsnes on the mainland.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a661fc08190a4c386125bddb16b |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019566da6c819083b59e0911d02bd5 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.