Triple
T30521524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WorldSSP |
E776703
|
entity |
| Predicate | relationToRiderCareerPath |
P14530
|
FINISHED |
| Object | stepping stone to Superbike World Championship |
—
|
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: stepping stone to Superbike World Championship | Statement: [WorldSSP, relationToRiderCareerPath, stepping stone to Superbike World Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToRiderCareerPath Context triple: [WorldSSP, relationToRiderCareerPath, stepping stone to Superbike World Championship]
-
A.
hasCareerTrack
chosen
Indicates that an entity is associated with or follows a particular career path or professional progression.
-
B.
associatedWithCareerOf
Indicates a relationship where something is connected or relevant to a person’s professional life, occupation, or career trajectory.
-
C.
followedByRoleInCareerOf
Indicates that one role or position directly succeeds another in the sequence of roles within a single entity’s career.
-
D.
notableRiderType
Indicates that an entity is notably associated with a particular type or category of rider (e.g., cyclist, jockey, driver).
-
E.
racingCareerStartYear
Indicates the year in which an entity’s professional or organized racing career began.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a031c6c728c81909c1d010048df71c3 |
completed | May 12, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_6a031bfc3b74819098c551096b1fcf00 |
completed | May 12, 2026, 12:24 p.m. |
Created at: April 29, 2026, 8:17 p.m.