Triple
T7178545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dent d'Hérens |
E167381
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object | Valtournenche |
E334454
|
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: Valtournenche | Statement: [Dent d'Hérens, nearbyLocality, Valtournenche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valtournenche Context triple: [Dent d'Hérens, nearbyLocality, Valtournenche]
-
A.
Valtournenche
chosen
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.
-
B.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
C.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
D.
Saint-Véran
Saint-Véran is a French wine appellation in southern Burgundy known for its high-quality Chardonnay-based white wines.
-
E.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8b8241081908edb5b5a5c35d4d3 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8682696a48190aec021bd00c6f633 |
completed | March 28, 2026, 11:45 p.m. |
Created at: March 27, 2026, 2:49 p.m.