Triple
T24224415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrrell |
E601551
|
entity |
| Predicate | enteredFirstF1RaceAsConstructorIn |
P122039
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [Tyrrell, enteredFirstF1RaceAsConstructorIn, 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredFirstF1RaceAsConstructorIn Context triple: [Tyrrell, enteredFirstF1RaceAsConstructorIn, 1970]
-
A.
firstUsedForFormulaOneWorldChampionship
Indicates that something (typically a circuit, track, or venue) was used for the first time in hosting a Formula One World Championship event.
-
B.
ageAtFirstFormulaOneWin
Indicates the age a person was when they achieved their first Formula One race victory.
-
C.
madeF1DebutForTeam
Indicates that a driver’s first-ever Formula 1 race appearance was made while competing for the specified team.
-
D.
ageAtF1Debut
Indicates the age a driver was when they made their debut in Formula 1.
-
E.
grandPrixDebutYear
chosen
Indicates the year in which an entity first participated in a Grand Prix event.
- 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