Triple
T16544767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vionnaz |
E401913
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Vouvry |
E1222197
|
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: Vouvry | Statement: [Vionnaz, sharesBorderWith, Vouvry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vouvry Context triple: [Vionnaz, sharesBorderWith, Vouvry]
-
A.
Vouvry
chosen
Vouvry is a Swiss municipality in the canton of Valais, located in the Chablais region near the Rhône River and the eastern end of Lake Geneva.
-
B.
Veygoux
Veygoux is a historic estate in the Puy-de-Dôme department of France, best known as the family home of General Louis-Charles-Antoine Desaix and now a museum dedicated to his life and the French Revolution.
-
C.
Arbois
Arbois is a small French town in the Jura region renowned for its vineyards and distinctive Jura wines, particularly vin jaune.
-
D.
Villeroux
Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
E.
Tavigny
Tavigny is a village in the Walloon region of Belgium, located in the province of Luxembourg.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34560daf08190b353b415d8ab280d |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aae69d1481909f5514cc496f45b5 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:15 a.m.