Triple
T36116173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Starlet |
E1044618
|
entity |
| Predicate | popularInMotorsport |
P131231
|
FINISHED |
| Object | club 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: club racing | Statement: [Toyota Starlet, popularInMotorsport, club racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularInMotorsport Context triple: [Toyota Starlet, popularInMotorsport, club racing]
-
A.
motorsportInfluence
Indicates a relationship where one entity has an impact on, shapes, or contributes to the development, popularity, or characteristics of motorsport or a specific motorsport domain.
-
B.
motorsportPurpose
Indicates that something exists or is used specifically for the purpose of participating in or supporting motorsport activities or events.
-
C.
motorsportReputation
chosen
Indicates the recognized standing or esteem an entity holds within the context of motorsport activities, performance, or involvement.
-
D.
motorsportDepartment
Indicates that an entity is a department or division responsible for motorsport-related activities within an organization.
-
E.
isMotorSportEventIn
Indicates that a particular motorsport event takes place within a specified location or venue.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 3, 2026, 4:08 p.m.