Triple
T20791402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympos |
E511785
|
entity |
| Predicate | MytikasElevation |
P99098
|
FINISHED |
| Object | 2917 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: 2917 metres | Statement: [Olympos, MytikasElevation, 2917 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MytikasElevation Context triple: [Olympos, MytikasElevation, 2917 metres]
-
A.
elevationOfHighestPeak_ft
Indicates the height, in feet, of the tallest peak associated with the given entity.
-
B.
prominenceOfHighestPeak_m
Indicates the vertical prominence, in meters, of the highest peak relative to the lowest contour line encircling it and no higher summit.
-
C.
peakElevationMetres
chosen
Indicates the maximum height of an entity above sea level, measured in metres.
-
D.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
E.
areaPeak
Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c29010508190bf2cf577d7f64754 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:38 p.m.