Triple
T23935513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salinas Grandes (salt flats) |
E602623
|
entity |
| Predicate | averageDaytimeTemperature |
P19296
|
FINISHED |
| Object | cool to mild |
—
|
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: cool to mild | Statement: [Salinas Grandes (salt flats), averageDaytimeTemperature, cool to mild]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageDaytimeTemperature Context triple: [Salinas Grandes (salt flats), averageDaytimeTemperature, cool to mild]
-
A.
averageTemperature
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
-
B.
typicalTemperature
chosen
Indicates the usual or characteristic temperature associated with an entity under normal conditions.
-
C.
averageSummerTemperatureC
Indicates the typical or mean air temperature, measured in degrees Celsius, experienced at a location during the summer season.
-
D.
averageAnnualHighTemperature
Indicates the typical yearly mean of the highest daily temperatures recorded for a given location or entity.
-
E.
winterAverageTemperature
Indicates the typical or mean temperature recorded during the winter season for a given entity or location.
- 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.