Triple
T13818634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dasht-e Lut |
E332080
|
entity |
| Predicate | recordedSurfaceTemperatureMeasurementMethod |
P111621
|
FINISHED |
| Object | satellite remote sensing |
—
|
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: satellite remote sensing | Statement: [Dasht-e Lut, recordedSurfaceTemperatureMeasurementMethod, satellite remote sensing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedSurfaceTemperatureMeasurementMethod Context triple: [Dasht-e Lut, recordedSurfaceTemperatureMeasurementMethod, satellite remote sensing]
-
A.
temperatureControlMethod
Indicates the method or mechanism used to regulate or maintain a desired temperature.
-
B.
recordedTemperatureRegion
Indicates that a particular temperature measurement was recorded for or associated with a specific geographic region.
-
C.
surfaceTemperature_K
Indicates the temperature of a surface expressed in kelvins.
-
D.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
E.
minSurfaceTemperature
Indicates the lowest temperature value observed or allowed on the surface of an object or environment.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:12 p.m.