Triple
T35022959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syrian Coastal Mountain Range |
E1010244
|
entity |
| Predicate | hasAverageElevationRange |
P122621
|
FINISHED |
| Object | 500–1500 m |
—
|
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: 500–1500 m | Statement: [Syrian Coastal Mountain Range, hasAverageElevationRange, 500–1500 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAverageElevationRange Context triple: [Syrian Coastal Mountain Range, hasAverageElevationRange, 500–1500 m]
-
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.
elevationCoverageApproximate
Indicates an approximate or estimated representation of how elevation values are covered or distributed over a given area or dataset.
-
D.
isHighElevation
Indicates that an entity is located at or associated with a relatively high altitude or elevation above a reference level, typically sea level.
-
E.
altitudeRange_m
chosen
Indicates the range of altitudes, measured in meters, over which the relationship or condition holds.
- 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.