Triple
T7526006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Armazones |
E177892
|
entity |
| Predicate | altitudeAdvantage |
P51558
|
FINISHED |
| Object | reduced atmospheric absorption |
—
|
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: reduced atmospheric absorption | Statement: [Cerro Armazones, altitudeAdvantage, reduced atmospheric absorption]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: altitudeAdvantage Context triple: [Cerro Armazones, altitudeAdvantage, reduced atmospheric absorption]
-
A.
altitudeEffect
chosen
Indicates how a change in altitude influences or modifies some property, condition, or outcome.
-
B.
altitudeCapability
Indicates the maximum or typical altitude at which an entity can effectively operate or function.
-
C.
altitudeCategory
Indicates the classification of something based on its height or elevation relative to a reference level (e.g., low, medium, high altitude).
-
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.
elevation
Indicates the vertical height or altitude of one entity relative to a reference level or 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c7ac5c8190bbf9befdff791de0 |
completed | March 27, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:46 p.m.