Triple
T25565014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigel Mansell |
E640810
|
entity |
| Predicate | F1WorldTitleYear |
P146171
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [Nigel Mansell, F1WorldTitleYear, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: F1WorldTitleYear Context triple: [Nigel Mansell, F1WorldTitleYear, 1992]
-
A.
FormulaOneWorldChampionYear
chosen
Indicates the specific year in which an entity held the title of Formula One World Champion.
-
B.
f1CareerEndYear
Indicates the year in which an individual's professional career in a given field or role came to an end.
-
C.
numberOfF1WorldChampionships
Indicates the number of Formula 1 World Championship titles that an entity has won.
-
D.
lastFormulaOneGrandPrixYear
Indicates the year in which the most recent Formula One Grand Prix involving the given entity took place.
-
E.
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.
- 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8fb94b48190b135b603667279a7 |
completed | May 2, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 3:48 p.m.