Triple
T35795496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Malaysian Grand Prix |
E1034818
|
entity |
| Predicate | virtualSafetyCarDeployedFor |
P183683
|
FINISHED |
| Object | Romain Grosjean’s crash |
—
|
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: Romain Grosjean’s crash | Statement: [2016 Malaysian Grand Prix, virtualSafetyCarDeployedFor, Romain Grosjean’s crash]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: virtualSafetyCarDeployedFor Context triple: [2016 Malaysian Grand Prix, virtualSafetyCarDeployedFor, Romain Grosjean’s crash]
-
A.
virtualSafetyCarDeployments
Indicates the number of times a virtual safety car period has been deployed during an event or session.
-
B.
safetyCarUsed
Indicates that a safety car was deployed and used during an event or activity.
-
C.
safetyCarPossible
Indicates that conditions are such that deploying a safety car is a valid or allowable option.
-
D.
safetyCarStart
Indicates that a safety car period has begun, initiating the deployment of the safety car onto the track.
-
E.
safetyCarSupplier
Indicates that one entity serves as the provider or manufacturer of safety cars for another entity or event.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a25431b481908e39e953b207b6be |
completed | May 3, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a162672481909773f8383d91159a |
completed | May 3, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:06 p.m.