Triple
T16797412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goûter ridge |
E408268
|
entity |
| Predicate | altitudeOfKeyHut |
P85157
|
FINISHED |
| Object | Refuge du Goûter at about 3835 metres |
—
|
LITERAL 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: Refuge du Goûter at about 3835 metres | Statement: [Goûter ridge, altitudeOfKeyHut, Refuge du Goûter at about 3835 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: altitudeOfKeyHut Context triple: [Goûter ridge, altitudeOfKeyHut, Refuge du Goûter at about 3835 metres]
-
A.
peakElevationMetres
Indicates the maximum height of an entity above sea level, measured in metres.
-
B.
hasMountainHut
Indicates that one entity possesses, contains, or is associated with a mountain hut located within its area or domain.
-
C.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
D.
campElevation
chosen
Indicates the elevation or height above sea level at which a camp is located.
-
E.
pilgrimageAltitudeHighPoint
Indicates the highest altitude reached along a pilgrimage route or during a pilgrimage journey.
- F. None of above.
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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2ab08e8819097072a23c4a62392 |
completed | April 18, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69e319cf691c819083e39225f5777ef0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.