Triple
T26389968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visa Cash App RB Formula One Team |
E663382
|
entity |
| Predicate | roleInRedBullSystem |
P59905
|
FINISHED |
| Object | junior team for Red Bull Racing |
—
|
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: junior team for Red Bull Racing | Statement: [Visa Cash App RB Formula One Team, roleInRedBullSystem, junior team for Red Bull Racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInRedBullSystem Context triple: [Visa Cash App RB Formula One Team, roleInRedBullSystem, junior team for Red Bull Racing]
-
A.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
-
B.
roleInLap
Indicates the specific function or position an entity holds during a particular lap within a sequence of laps.
-
C.
roleInFormulaE
Indicates that an entity holds a specific role or position within the context of Formula E.
-
D.
roleInRacingCalendar
Indicates the specific function or significance that a race or event holds within the overall racing calendar or season schedule.
-
E.
motorsportRole
chosen
Indicates the specific function or position an entity holds within the context of motorsport activities or events.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 26, 2026, 11:25 p.m.