Triple
T21996468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | フィリピン・ルソン島 |
E543217
|
entity |
| Predicate | 最高峰標高 |
P141432
|
FINISHED |
| Object | 約2,922メートル |
—
|
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: 約2,922メートル | Statement: [フィリピン・ルソン島, 最高峰標高, 約2,922メートル]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 最高峰標高 Context triple: [フィリピン・ルソン島, 最高峰標高, 約2,922メートル]
-
A.
hasMainPeakElevation_m
chosen
Indicates the relationship that specifies the elevation, in meters, of the main or highest peak associated with an entity.
-
B.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
C.
elevationOfHighestPeak_ft
Indicates the height, in feet, of the tallest peak associated with the given entity.
-
D.
peakElevationMetres
Indicates the maximum height of an entity above sea level, measured in metres.
-
E.
isMostTopographicallyProminentIn
Indicates that an entity has the greatest topographic prominence within a specified area or group, exceeding that of all comparable entities.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12765fb0c81908f7b7acda065ee2f |
completed | April 28, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:19 p.m.