Triple
T18138921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saab 92 |
E434209
|
entity |
| Predicate | notableInMotorsport |
P8241
|
FINISHED |
| Object | Swedish rallying |
—
|
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: Swedish rallying | Statement: [Saab 92, notableInMotorsport, Swedish rallying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInMotorsport Context triple: [Saab 92, notableInMotorsport, Swedish rallying]
-
A.
notableFormerDriver
Indicates that a person was previously a prominent or distinguished driver for the referenced entity (such as a team, organization, or company).
-
B.
hasMotorsportInvolvement
chosen
Indicates that an entity is involved in motorsport, such as through participation, organization, sponsorship, or other direct association with motor racing activities.
-
C.
motorsportRole
Indicates the specific function or position an entity holds within the context of motorsport activities or events.
-
D.
notableCar
Indicates that the subject is a car recognized for its significance, prominence, or special interest (e.g., historically, culturally, or technically).
-
E.
hasNotableMotorsportFigure
Indicates that an entity is associated with or features a person who is prominent or distinguished in the field of motorsport.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0993e88190b19c5cb35a6d252d |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.