Triple
T13818636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dasht-e Lut |
E332080
|
entity |
| Predicate | recordedSurfaceTemperaturePeriod |
P111622
|
FINISHED |
| Object | 2003–2009 |
—
|
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: 2003–2009 | Statement: [Dasht-e Lut, recordedSurfaceTemperaturePeriod, 2003–2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedSurfaceTemperaturePeriod Context triple: [Dasht-e Lut, recordedSurfaceTemperaturePeriod, 2003–2009]
-
A.
recordedTemperatureRegion
Indicates that a particular temperature measurement was recorded for or associated with a specific geographic region.
-
B.
surfaceTemperatureRange
Indicates the range between the minimum and maximum surface temperatures observed or allowed for an entity.
-
C.
surfaceTemperature_K
Indicates the temperature of a surface expressed in kelvins.
-
D.
minSurfaceTemperature
Indicates the lowest temperature value observed or allowed on the surface of an object or environment.
-
E.
maximumRecordedTemperature
Indicates the highest temperature value that has been observed and recorded for a given entity or context.
- 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.