Triple
T8182144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dent de Nendaz |
E191087
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | fr:Dent de Nendaz |
E191087
|
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: fr:Dent de Nendaz | Statement: [Dent de Nendaz, hasNameInLanguage, fr:Dent de Nendaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: fr:Dent de Nendaz Context triple: [Dent de Nendaz, hasNameInLanguage, fr:Dent de Nendaz]
-
A.
ski resort of Nendaz
The ski resort of Nendaz is a Swiss Alpine destination in the 4 Vallées area, known for its extensive ski terrain, family-friendly atmosphere, and access to high-altitude slopes.
-
B.
Nendaz
Nendaz is a Swiss Alpine resort village in the canton of Valais, known for its skiing, hiking, and access to the extensive 4 Vallées ski domain.
-
C.
Dent de Nendaz
chosen
Dent de Nendaz is a mountain peak in the Swiss Pennine Alps overlooking the resort area of Nendaz in the canton of Valais.
-
D.
Paslières
Paslières is a commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
E.
Dent d'Hérens
Dent d'Hérens is a prominent alpine peak on the Swiss-Italian border, located near the Matterhorn in the Pennine Alps.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4db8748190aa785e0c70fac497 |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf8e8f0c819096f449760ce0d240 |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:40 p.m.