Triple
T27846466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lance Stroll |
E703834
|
entity |
| Predicate | hasPodiumFinishesInF1 |
P92355
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lance Stroll, hasPodiumFinishesInF1, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPodiumFinishesInF1 Context triple: [Lance Stroll, hasPodiumFinishesInF1, true]
-
A.
achievedFirstF1PodiumWith
Indicates that one entity secured their first-ever Formula 1 podium finish while driving for or in association with the other entity.
-
B.
achievedPolePositionAt
Indicates that an entity secured the top starting position (pole position) at a specified event or location.
-
C.
achievedPodiumIn
chosen
Indicates that an entity finished in a top-ranked (podium) position in a specified competition or event.
-
D.
totalFormulaOnePodiums
Indicates the total number of times an entity has finished on the podium (top three positions) in Formula One races.
-
E.
hadGrandPrix
Indicates that a particular Grand Prix event took place as part of, or was hosted by, a given competition, season, or venue.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: April 27, 2026, 6:07 p.m.