Triple
T7423830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mies |
E171317
|
entity |
| Predicate | canton |
P3942
|
FINISHED |
| Object | Vaud |
E64446
|
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: Vaud | Statement: [Mies, canton, Vaud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaud Context triple: [Mies, canton, Vaud]
-
A.
Vaud
chosen
Vaud is a French-speaking canton in western Switzerland known for its picturesque Lake Geneva shoreline, Alpine scenery, and historic towns such as Lausanne and Montreux.
-
B.
Gros-de-Vaud
Gros-de-Vaud is a predominantly rural district in the canton of Vaud, Switzerland, known for its agricultural landscape and small towns.
-
C.
Nyon District
Nyon District is an administrative district in the canton of Vaud in western Switzerland, situated along Lake Geneva and functioning as part of the broader Geneva metropolitan region.
-
D.
Port-Valais
Port-Valais is a small Swiss municipality in the canton of Valais, located near the eastern end of Lake Geneva and known for its scenic lakeside and Rhône delta landscapes.
-
E.
Upper Valais
Upper Valais is the predominantly German-speaking, mountainous eastern part of the Swiss canton of Valais, known for its Alpine landscapes, glaciers, and major ski resorts.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2eece588190905774e7151edcb8 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d60d24c6dc819088332a512940a9c8 |
completed | April 8, 2026, 8:09 a.m. |
Created at: March 27, 2026, 3:12 p.m.