Triple
T17226188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Λευκά Όρη |
E418119
|
entity |
| Predicate | hasPeakAbove2000mCount |
P54879
|
FINISHED |
| Object | more than 30 |
—
|
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: more than 30 | Statement: [Λευκά Όρη, hasPeakAbove2000mCount, more than 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakAbove2000mCount Context triple: [Λευκά Όρη, hasPeakAbove2000mCount, more than 30]
-
A.
hasPeakOver3000m
Indicates that the related geographic feature has at least one peak whose elevation exceeds 3000 meters above sea level.
-
B.
numberOfMountains
chosen
Indicates the quantitative count of mountains associated with a given entity or context.
-
C.
prominenceOfHighestPeak_m
Indicates the vertical prominence, in meters, of the highest peak relative to the lowest contour line encircling it and no higher summit.
-
D.
rankingByLengthInAlps
Indicates an ordering of entities based on their relative lengths specifically within the context of the Alps.
-
E.
hasHighestPeaksOver
Indicates that one entity possesses mountain peaks that are higher in elevation than those of 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42de1674c81909ca9e87fa9153640 |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.