Triple
T16531617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | south face of Denali |
E401579
|
entity |
| Predicate | approxVerticalRelief |
P19604
|
FINISHED |
| Object | around 2700 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: around 2700 meters | Statement: [south face of Denali, approxVerticalRelief, around 2700 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxVerticalRelief Context triple: [south face of Denali, approxVerticalRelief, around 2700 meters]
-
A.
hasRelativeRelief
chosen
Indicates a relationship where one entity is characterized by the degree of variation in elevation or relief relative to another reference entity or area.
-
B.
elevation
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
C.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
D.
elevationCoverageApproximate
Indicates an approximate or estimated representation of how elevation values are covered or distributed over a given area or dataset.
-
E.
elevationType
Indicates the kind or classification of elevation associated with an entity, such as how its height or altitude is characterized.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed8075c81908ff47396879abd0c |
completed | April 18, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.