Triple
T6023047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Furka Pass |
E134108
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Rhône Glacier |
E11136
|
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: Rhône Glacier | Statement: [Furka Pass, near, Rhône Glacier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhône Glacier Context triple: [Furka Pass, near, Rhône Glacier]
-
A.
Rhône Glacier
chosen
The Rhône Glacier is a major Alpine glacier in the Swiss Alps that historically fed the Rhône River and has become a prominent example of glacial retreat due to climate change.
-
B.
Brenva Glacier
Brenva Glacier is a major valley glacier on the Italian side of the Mont Blanc massif in the Alps, known for its large icefalls and historic avalanches.
-
C.
Glacier de Trient
Glacier de Trient is a notable alpine glacier in the Mont Blanc massif of the western Alps, known for its high-altitude ice fields and surrounding mountaineering routes.
-
D.
Glacier d’Ossoue
Glacier d’Ossoue is a prominent glacier on the north face of the Vignemale massif in the central Pyrenees, known as one of the largest and most studied glaciers in the range.
-
E.
Forel Glacier
Forel Glacier is one of the small equatorial glaciers on Mount Kenya in Kenya’s central highlands.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fbd7978819085d683578bc62aa3 |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ea1595c8190926a5ed8d230ab4a |
completed | March 23, 2026, 4:47 p.m. |
Created at: March 22, 2026, 4:07 p.m.