Triple
T28991104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 São Paulo Grand Prix qualifying |
E736026
|
entity |
| Predicate | impactOfWeather |
P69051
|
FINISHED |
| Object | rain arrived during Q3 |
—
|
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: rain arrived during Q3 | Statement: [2022 São Paulo Grand Prix qualifying, impactOfWeather, rain arrived during Q3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfWeather Context triple: [2022 São Paulo Grand Prix qualifying, impactOfWeather, rain arrived during Q3]
-
A.
rainfallImpact
chosen
Indicates how rainfall influences or alters the condition, behavior, or outcome of a target entity or process.
-
B.
hasSignificantWeatherInfluence
Indicates that one entity exerts a substantial impact on the weather conditions or patterns experienced by another entity or region.
-
C.
impactOfDisasters
Indicates the effects or consequences that disasters have on entities, conditions, or outcomes.
-
D.
climateChangeEffect
Indicates how climate change influences or alters a particular entity, condition, or process.
-
E.
windImpact
Indicates the influence or effect that wind has on an entity, condition, or process.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 28, 2026, 9:25 a.m.