Triple
T24224345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRM |
E601550
|
entity |
| Predicate | enteredFormulaOneInYear |
P82780
|
FINISHED |
| Object | 1950 |
—
|
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: 1950 | Statement: [BRM, enteredFormulaOneInYear, 1950]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredFormulaOneInYear Context triple: [BRM, enteredFormulaOneInYear, 1950]
-
A.
enteredFormulaOne
chosen
Indicates that an entity began competing in Formula One racing, marking its entry into the Formula One championship.
-
B.
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.
-
C.
debutInFormulaOneSeason
Indicates the Formula One season during which an entity (typically a driver or team) made its first official appearance in the championship.
-
D.
firstUsedForFormulaOneWorldChampionship
Indicates that something (typically a circuit, track, or venue) was used for the first time in hosting a Formula One World Championship event.
-
E.
lastFormulaOneGrandPrixYear
Indicates the year in which the most recent Formula One Grand Prix involving the given entity took place.
- 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