Triple
T26485476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Ricciardo |
E664806
|
entity |
| Predicate | hasPolePositionsInF1 |
P57362
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Daniel Ricciardo, hasPolePositionsInF1, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPolePositionsInF1 Context triple: [Daniel Ricciardo, hasPolePositionsInF1, yes]
-
A.
achievedPolePositionAt
Indicates that an entity secured the top starting position (pole position) at a specified event or location.
-
B.
totalPolePositions
chosen
Indicates the total number of times an entity has achieved pole position in qualifying or starting order across all relevant events.
-
C.
firstPolePositionDriver
Indicates the driver who achieved the very first pole position in a given racing event or series.
-
D.
achievedFirstF1PodiumWith
Indicates that one entity secured their first-ever Formula 1 podium finish while driving for or in association with the other entity.
-
E.
totalFormulaOnePodiums
Indicates the total number of times an entity has finished on the podium (top three positions) in Formula One races.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 27, 2026, 12:30 a.m.