Triple
T24224428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrrell |
E601551
|
entity |
| Predicate | finalSeasonInF1 |
P52117
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Tyrrell, finalSeasonInF1, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalSeasonInF1 Context triple: [Tyrrell, finalSeasonInF1, 1998]
-
A.
lastFormulaOneSeason
chosen
Indicates the specific Formula One racing season in which an entity most recently participated or was active.
-
B.
f1CareerEndYear
Indicates the year in which an individual's professional career in a given field or role came to an end.
-
C.
activeInFormulaOneUntil
Indicates that an entity participated as an active competitor in Formula One up to and including a specified end time or season.
-
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.
numberOfF1WorldChampionships
Indicates the number of Formula 1 World Championship titles that an entity has won.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287ddfecc81909f5396857974bc8c |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, midnight