Triple
T16113307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare d’Annemasse |
E390933
|
entity |
| Predicate | adjacentMunicipality |
P5707
|
FINISHED |
| Object | Ambilly |
E251945
|
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: Ambilly | Statement: [Gare d’Annemasse, adjacentMunicipality, Ambilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambilly Context triple: [Gare d’Annemasse, adjacentMunicipality, Ambilly]
-
A.
Ambilly
chosen
Ambilly is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, located near the Swiss border by Geneva.
-
B.
Valtournenche
Valtournenche is a mountain village and commune in Italy’s Aosta Valley, known as a gateway to the Matterhorn and a popular destination for alpine climbing and skiing.
-
C.
Villard-sur-Chamby
Villard-sur-Chamby is a small village in the canton of Vaud in western Switzerland, situated in the Alpine foothills above Lake Geneva.
-
D.
Ambonnay
Ambonnay is a renowned Grand Cru village in France’s Champagne region, celebrated for its high-quality Pinot Noir and Chardonnay grapes used in premium sparkling wines.
-
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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20168bf98819093c3260d4fde2b53 |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79c74388190a10e0346426b0cbe |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5 a.m.