Triple
T18296059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SL/R 5000 |
E438232
|
entity |
| Predicate | motorsportReputation |
P131231
|
FINISHED |
| Object | strong |
—
|
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: strong | Statement: [SL/R 5000, motorsportReputation, strong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motorsportReputation Context triple: [SL/R 5000, motorsportReputation, strong]
-
A.
motorsportRole
Indicates the specific function or position an entity holds within the context of motorsport activities or events.
-
B.
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.
-
C.
hasMotorsportInvolvement
Indicates that an entity is involved in motorsport, such as through participation, organization, sponsorship, or other direct association with motor racing activities.
-
D.
motorsportPurpose
Indicates that something exists or is used specifically for the purpose of participating in or supporting motorsport activities or events.
-
E.
motorsportHomologationRole
Indicates the specific role or function an entity has within the homologation (official approval and certification) process in motorsport.
- F. None of above. chosen
Provenance (4 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017c0f04819095cd9d59afc37caa |
completed | April 19, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:35 a.m.