Triple
T28184972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Diamond |
E716151
|
entity |
| Predicate | maxElevationAtTop |
P99098
|
FINISHED |
| Object | about 4,270 meters |
—
|
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: about 4,270 meters | Statement: [The Diamond, maxElevationAtTop, about 4,270 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxElevationAtTop Context triple: [The Diamond, maxElevationAtTop, about 4,270 meters]
-
A.
hasTopElevation
Indicates that an entity has a specified maximum or highest elevation value.
-
B.
maximumPinnacleHeight
Indicates the greatest vertical height reached at the highest point (pinnacle) of an object, structure, or formation.
-
C.
highestPassApproxElevation
Indicates the approximate elevation of the highest pass along a given route or within a specified area.
-
D.
elevationRangeUpperBound
Indicates the maximum elevation value that bounds the upper limit of an elevation range for something.
-
E.
peakElevationMetres
chosen
Indicates the maximum height of an entity above sea level, measured in metres.
- 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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 10:22 p.m.