Triple
T21422220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée Blanche glacier |
E528462
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Dent du Géant |
—
|
NE NERFINISHED |
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: Dent du Géant | Statement: [Vallée Blanche glacier, hasViewOf, Dent du Géant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dent du Géant Context triple: [Vallée Blanche glacier, hasViewOf, Dent du Géant]
-
A.
Dent du Géant
chosen
Dent du Géant is a striking granite peak in the Mont Blanc massif of the Alps, renowned among climbers for its distinctive tooth-like shape and challenging ascents.
-
B.
Le Rocher
Le Rocher is the rocky promontory that forms Monaco’s historic old town, home to landmarks such as the Prince’s Palace and the Monaco Cathedral.
-
C.
Dent du Pra
Dent du Pra is a prominent alpine peak in the Belledonne range of the French Alps, known for its rugged terrain and scenic climbing routes.
-
D.
Puy de Sancy
Puy de Sancy is a prominent volcanic peak in central France known for being the tallest mountain in the Massif Central range.
-
E.
Sancy Massif
Sancy Massif is a volcanic mountain range in France’s Massif Central, known for its highest peak Puy de Sancy and popular hiking and winter sports.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2d17f5081908f0185011eae3160 |
completed | April 22, 2026, 11:36 a.m. |
Created at: April 16, 2026, 5:48 p.m.