Triple
T11492733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce McLaren |
E272454
|
entity |
| Predicate | FormulaOnePodiums |
P52119
|
FINISHED |
| Object | 27 |
—
|
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: 27 | Statement: [Bruce McLaren, FormulaOnePodiums, 27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FormulaOnePodiums Context triple: [Bruce McLaren, FormulaOnePodiums, 27]
-
A.
totalFormulaOnePodiums
chosen
Indicates the total number of times an entity has finished on the podium (top three positions) in Formula One races.
-
B.
WorldCupPodiums
Indicates that an entity has achieved a top-three (podium) finish in a FIFA World Cup tournament.
-
C.
grandTourPodium
Indicates that an entity achieved a top-three overall finish in a Grand Tour cycling race.
-
D.
winnerLaps
Indicates that one participant completed more laps than another, thereby winning based on lap count.
-
E.
worldCupPodiums
Indicates that one entity has achieved podium (top-three) finishes in FIFA World Cup competitions, with the related entity specifying those podium results.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a21fb048190acb0960aefd4fe0a |
completed | April 10, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.