Triple
T6425409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfa Romeo 156 |
E128044
|
entity |
| Predicate | notableMotorsportFeature |
P8241
|
FINISHED |
| Object | highly successful Super 2000 touring car variant |
—
|
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: highly successful Super 2000 touring car variant | Statement: [Alfa Romeo 156, notableMotorsportFeature, highly successful Super 2000 touring car variant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMotorsportFeature Context triple: [Alfa Romeo 156, notableMotorsportFeature, highly successful Super 2000 touring car variant]
-
A.
notableCar
Indicates that the subject is a car recognized for its significance, prominence, or special interest (e.g., historically, culturally, or technically).
-
B.
notableMotorcycleSeries
Indicates that a motorcycle series is notable or significant in some recognized context.
-
C.
notableFeatureOn
Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
-
D.
hasMotorsportInvolvement
chosen
Indicates that an entity is involved in motorsport, such as through participation, organization, sponsorship, or other direct association with motor racing activities.
-
E.
motorsportRole
Indicates the specific function or position an entity holds within the context of motorsport activities or events.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691e2e708190a9198cf61f92c6c2 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:43 p.m.