Triple
T26389938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visa Cash App RB Formula One Team |
E663382
|
entity |
| Predicate | isSisterTeamOf |
P76916
|
FINISHED |
| Object | Red Bull Racing |
—
|
NE NERFINISHED |
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: Red Bull Racing | Statement: [Visa Cash App RB Formula One Team, isSisterTeamOf, Red Bull Racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSisterTeamOf Context triple: [Visa Cash App RB Formula One Team, isSisterTeamOf, Red Bull Racing]
-
A.
sisterTeam
chosen
Indicates that two teams are closely affiliated or paired, typically within the same organization or structure, as "sister" teams.
-
B.
featuredTeamsFromSameDivision
Indicates that all featured teams belong to the same competitive division.
-
C.
memberTeam
Indicates that an entity belongs to or is part of a specific team.
-
D.
hasTeamFor
Indicates that an entity possesses, is associated with, or is responsible for a specific team designated for a particular purpose or context.
-
E.
hasCompanionTeamName
Indicates that an entity is associated with a companion team identified by the given team name.
- 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_69f610be3e848190b7acb7675e37e1f5 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:25 p.m.