Triple
T1127318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Patagonian Ice Field |
E24748
|
entity |
| Predicate | highestPointApprox |
P19320
|
FINISHED |
| Object | over 3,000 meters above sea level |
—
|
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: over 3,000 meters above sea level | Statement: [Southern Patagonian Ice Field, highestPointApprox, over 3,000 meters above sea level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPointApprox Context triple: [Southern Patagonian Ice Field, highestPointApprox, over 3,000 meters above sea level]
-
A.
areaPeakApprox
Indicates an approximate measurement or estimation of the peak area associated with an entity or event.
-
B.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
C.
highestElevationApprox
chosen
Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
-
D.
hasHighestPointType
Indicates that the highest point of an entity is of a specified type or category.
-
E.
isClosestStateHighPointTo
Indicates that one state high point is geographically nearer to a given reference location or feature than any other state high point.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb48de2081909a0dce005b1c9df1 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.