Triple
T16541391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ski Apache |
E401825
|
entity |
| Predicate | hasApproximateSummitElevationMeters |
P45909
|
FINISHED |
| Object | about 3500 meters |
—
|
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 3500 meters | Statement: [Ski Apache, hasApproximateSummitElevationMeters, about 3500 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateSummitElevationMeters Context triple: [Ski Apache, hasApproximateSummitElevationMeters, about 3500 meters]
-
A.
summitElevation
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
B.
elevationApproxMeters
chosen
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
C.
peakElevationMetres
Indicates the maximum height of an entity above sea level, measured in metres.
-
D.
isSummitOf
Indicates that one entity is the highest point or peak (summit) of another entity, such as a mountain or structure.
-
E.
distanceToSummit
Indicates the measured or estimated distance remaining from a given point to the summit of a feature or elevation.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455cf4b88190b3c9e93e158a7686 |
completed | April 18, 2026, 8:48 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.