Triple
T24194596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubens Barrichello |
E599796
|
entity |
| Predicate | F1Seasons |
P155128
|
FINISHED |
| Object | 1993–2011 |
—
|
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: 1993–2011 | Statement: [Rubens Barrichello, F1Seasons, 1993–2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: F1Seasons Context triple: [Rubens Barrichello, F1Seasons, 1993–2011]
-
A.
lastFormulaOneSeason
Indicates the specific Formula One racing season in which an entity most recently participated or was active.
-
B.
F1GrandsPrixEntered
Indicates the number of Formula 1 Grand Prix events that an entity has officially entered.
-
C.
f1CareerEndYear
Indicates the year in which an individual's professional career in a given field or role came to an end.
-
D.
bestFormulaOneChampionshipSeason
Indicates that, among all Formula One championship seasons associated with an entity (typically a driver or team), this specific season is considered their best or most outstanding.
-
E.
F1ReturnYear
Indicates the year in which an entity’s F1 (Formula 1) participation or status returns or resumes.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e24a139c8190a9eff2eafc11bf11 |
completed | April 29, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:36 p.m.