Triple
T23935515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salinas Grandes (salt flats) |
E602623
|
entity |
| Predicate | solarRadiation |
P81429
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Salinas Grandes (salt flats), solarRadiation, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: solarRadiation Context triple: [Salinas Grandes (salt flats), solarRadiation, high]
-
A.
hasSolarRadiation
chosen
Indicates that an entity is subject to, receives, or is characterized by a certain amount or presence of solar radiation.
-
B.
hasMaximumSolarInsolation
Indicates that an entity receives the highest level of solar radiation or sunlight intensity compared to relevant alternatives or within a given context.
-
C.
hasMeanEarthInsolation_WPerM2
Indicates the average amount of solar power per unit area (in watts per square meter) received by Earth at the top of its atmosphere.
-
D.
sunshineHoursPerYear
Indicates the total number of hours in a year during which a location receives direct sunshine.
-
E.
hasMinimumSolarInsolation
Indicates that an entity receives at least a specified minimum amount of solar energy (insolation) over a given area and time period.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cf9e8abc8190a3028a358265912e |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:02 p.m.