Triple
T18229239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-AMG safety car |
E436498
|
entity |
| Predicate | introducedAsF1SafetyCar |
P130331
|
FINISHED |
| Object | 2000s |
—
|
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: 2000s | Statement: [Mercedes-AMG safety car, introducedAsF1SafetyCar, 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAsF1SafetyCar Context triple: [Mercedes-AMG safety car, introducedAsF1SafetyCar, 2000s]
-
A.
safetyCarUsed
Indicates that a safety car was deployed and used during an event or activity.
-
B.
safetyCarStart
Indicates that a safety car period has begun, initiating the deployment of the safety car onto the track.
-
C.
safetyCarFrequency
Indicates how often a safety car is deployed or appears within a given context or time frame.
-
D.
safetyCarPossible
Indicates that conditions are such that deploying a safety car is a valid or allowable option.
-
E.
safetyCarPeriods
Indicates periods during an event when a safety car is deployed, affecting normal progression or conditions.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b1b2108190a5585bbfaf2d295b |
completed | April 19, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f684e48190b38c64b58c518b6a |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:33 a.m.