Triple
T27789820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro de la Silla |
E701049
|
entity |
| Predicate | elevationOfPicoSur |
P99098
|
FINISHED |
| Object | approximately 1750 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: approximately 1750 m | Statement: [Cerro de la Silla, elevationOfPicoSur, approximately 1750 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationOfPicoSur Context triple: [Cerro de la Silla, elevationOfPicoSur, approximately 1750 m]
-
A.
peakElevationMetres
chosen
Indicates the maximum height of an entity above sea level, measured in metres.
-
B.
elevationOfHighestPeak_ft
Indicates the height, in feet, of the tallest peak associated with the given entity.
-
C.
mountainPassElevation_ft
Indicates the elevation, measured in feet, at which a mountain pass is located.
-
D.
elevationAboveSurroundingPlains
Indicates that something is situated at a higher altitude than the nearby flat or low-lying surrounding plains.
-
E.
mountainHeight
Indicates the vertical elevation or height of a mountain, typically measured from sea level.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 5:27 p.m.