Triple
T6140508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Sand Sea |
E136947
|
entity |
| Predicate | nightTemperature |
P69411
|
FINISHED |
| Object | large diurnal temperature range |
—
|
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: large diurnal temperature range | Statement: [Great Sand Sea, nightTemperature, large diurnal temperature range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nightTemperature Context triple: [Great Sand Sea, nightTemperature, large diurnal temperature range]
-
A.
typicalTemperature
Indicates the usual or characteristic temperature associated with an entity under normal conditions.
-
B.
nightService
Indicates that a service operates or is available during nighttime hours.
-
C.
averageTemperature
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
-
D.
averageMinTemperatureColdestMonth
Indicates the lowest average minimum temperature recorded during the coldest month in a given location or period.
-
E.
weatherMinimums
Indicates the minimum weather conditions or thresholds that must be met for a particular activity, operation, or rule to be allowed.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb030fc8190b78e4967eea65611 |
completed | March 22, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:15 p.m.