Triple
T32284479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas (fictional setting of the film) |
E824787
|
entity |
| Predicate | weatherFeature |
P1702
|
FINISHED |
| Object | thunderstorm |
—
|
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: thunderstorm | Statement: [Kansas (fictional setting of the film), weatherFeature, thunderstorm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weatherFeature Context triple: [Kansas (fictional setting of the film), weatherFeature, thunderstorm]
-
A.
weatherAgency
Indicates that one entity functions as a weather-related authority or service provider responsible for monitoring, forecasting, or reporting atmospheric conditions for another entity or region.
-
B.
weatherCondition
chosen
Indicates the type of atmospheric state or weather pattern (e.g., sunny, rainy, snowy) affecting a location or time period.
-
C.
weatherCapability
Indicates that an entity has the ability or functionality to provide, process, or otherwise handle weather-related information or services.
-
D.
allWeatherCapability
Indicates that an entity is capable of operating effectively under all weather conditions.
-
E.
weatherVariant
Indicates that one weather condition is an alternative or specific version of another related weather condition.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcce457c819091b711d6cc66c980 |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:43 a.m.