Triple
T23090924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rahal Letterman Racing |
E575745
|
entity |
| Predicate | ownsSubteam |
P42062
|
FINISHED |
| Object | Rahal Letterman Lanigan Racing GT program |
—
|
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: Rahal Letterman Lanigan Racing GT program | Statement: [Rahal Letterman Racing, ownsSubteam, Rahal Letterman Lanigan Racing GT program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownsSubteam Context triple: [Rahal Letterman Racing, ownsSubteam, Rahal Letterman Lanigan Racing GT program]
-
A.
hasSubteam
chosen
Indicates that one team is a subordinate or component team within another, larger team.
-
B.
memberOfSportsTeamOwned
Indicates that an entity is a member of a sports team that is owned by another specified entity.
-
C.
memberTeam
Indicates that an entity belongs to or is part of a specific team.
-
D.
ownsDivision
Indicates that one entity has legal or controlling ownership over a specific division of another entity or organization.
-
E.
associatedTeamName
Indicates the name of the team that is linked or connected to a given entity.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da99bec81908ecadf8dab10d1b7 |
completed | April 29, 2026, 4:48 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.