Triple
T19635110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitakami Mountains |
E471372
|
entity |
| Predicate | averageElevationClass |
P128627
|
FINISHED |
| Object | low to medium elevation mountains |
—
|
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: low to medium elevation mountains | Statement: [Kitakami Mountains, averageElevationClass, low to medium elevation mountains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageElevationClass Context triple: [Kitakami Mountains, averageElevationClass, low to medium elevation mountains]
-
A.
hasAverageElevation
Indicates that an entity is characterized by a specific mean height above a defined reference level, typically sea level.
-
B.
typicalElevationRange
Indicates the usual range of elevation values within which something commonly occurs or exists.
-
C.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
D.
approximateElevationCategory
chosen
Indicates the general elevation range or level into which an entity’s height above sea level has been coarsely grouped.
-
E.
elevation
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64105f44081909c62341bace91972 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.