Triple
T17179437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eiger North Face |
E416942
|
entity |
| Predicate | baseElevationApprox |
P15473
|
FINISHED |
| Object | about 1600 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: about 1600 metres | Statement: [Eiger North Face, baseElevationApprox, about 1600 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseElevationApprox Context triple: [Eiger North Face, baseElevationApprox, about 1600 metres]
-
A.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
B.
elevationFeetApproximate
Indicates the approximate elevation of an entity above sea level, measured in feet.
-
C.
elevationCoverageApproximate
Indicates an approximate or estimated representation of how elevation values are covered or distributed over a given area or dataset.
-
D.
elevationMinApprox
Indicates an approximate value for the minimum elevation associated with an entity or location.
-
E.
elevationAtBase
chosen
Indicates the height or altitude measured at the base or lowest point of an object or feature relative to a reference level.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0f9a288190b0ddfb673bd8e84b |
completed | April 18, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.