Triple
T17740042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saab Sonett I |
E442828
|
entity |
| Predicate | motorsportIntent |
P84514
|
FINISHED |
| Object | sports car 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: sports car racing | Statement: [Saab Sonett I, motorsportIntent, sports car racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motorsportIntent Context triple: [Saab Sonett I, motorsportIntent, sports car racing]
-
A.
motorsportReturnFor
Indicates a relationship where something is received, gained, or obtained as a result of participation in or association with a motorsport activity or event.
-
B.
motorsportPurpose
chosen
Indicates that something exists or is used specifically for the purpose of participating in or supporting motorsport activities or events.
-
C.
isMotorSportEventIn
Indicates that a particular motorsport event takes place within a specified location or venue.
-
D.
racingSeries
Indicates that one entity is a racing series in which the other entity (such as a race, team, or driver) participates or to which it belongs.
-
E.
sportingMovement
Indicates a physical action or motion performed as part of a sport or athletic activity.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acc2610819099451b02bb51891f |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:09 a.m.