Triple
T13818631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dasht-e Lut |
E332080
|
entity |
| Predicate | hasHighestRecordedSurfaceTemperature |
P37523
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Dasht-e Lut, hasHighestRecordedSurfaceTemperature, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighestRecordedSurfaceTemperature Context triple: [Dasht-e Lut, hasHighestRecordedSurfaceTemperature, yes]
-
A.
maximumRecordedTemperature
chosen
Indicates the highest temperature value that has been observed and recorded for a given entity or context.
-
B.
hasHighestTemperature
Indicates that the referenced entity possesses the greatest temperature value compared to all other relevant entities in the given context.
-
C.
maxSurfaceTemperature
Indicates the highest temperature that the surface of an entity can reach or sustain under specified conditions.
-
D.
recordHighTemperatureLocation
Indicates the location where the highest recorded temperature occurred.
-
E.
minSurfaceTemperature
Indicates the lowest temperature value observed or allowed on the surface of an object or environment.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0281bb988190803ee195f430b9c8 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.