Triple
T10943956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac du Bourget |
E258545
|
entity |
| Predicate | locatedInValley |
P40
|
FINISHED |
| Object | Combe de Savoie |
E321441
|
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: Combe de Savoie | Statement: [Lac du Bourget, locatedInValley, Combe de Savoie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Combe de Savoie Context triple: [Lac du Bourget, locatedInValley, Combe de Savoie]
-
A.
Combe de Savoie
chosen
Combe de Savoie is a wine-producing valley in the French Alps known for its vineyards, scenic landscapes, and gateway position to alpine resorts near Albertville.
-
B.
Longjumeau
Longjumeau is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes.
-
C.
Mont-Dore
Mont-Dore is a spa and ski resort town in central France’s Massif Central, known for its thermal springs and access to the nearby volcanic landscapes.
-
D.
Mont-Dore
Mont-Dore is a coastal commune and suburb of Nouméa in New Caledonia, known for its mountainous landscapes and residential areas.
-
E.
Chamrousse
Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c4d59481908a5900fc8cf9ecc3 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c2dea008190af68336a096b7f7c |
completed | April 17, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:23 p.m.