Triple
T28991005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romain Grosjean |
E736024
|
entity |
| Predicate | F1RaceStarts |
P166093
|
FINISHED |
| Object | 179 |
—
|
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: 179 | Statement: [Romain Grosjean, F1RaceStarts, 179]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: F1RaceStarts Context triple: [Romain Grosjean, F1RaceStarts, 179]
-
A.
raceRecordStarts
Indicates that a race record begins or is initiated at a specific point or event in time.
-
B.
safetyCarStart
Indicates that a safety car period has begun, initiating the deployment of the safety car onto the track.
-
C.
firstNASCARStart
Indicates the event or record marking when an entity (typically a driver) made their first competitive start in a NASCAR race or series.
-
D.
F1Status
Indicates the current competitive or operational standing of an entity within the context of Formula 1 (e.g., active, reserve, retired, or otherwise classified in F1).
-
E.
raceStartType
Indicates the manner or format in which a race is initiated (e.g., type or method of starting the race).
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65f7d3b5c8190937aaddff2879989 |
completed | May 2, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 9:25 a.m.