Triple
T6085585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim France |
E135630
|
entity |
| Predicate | hasNotablePositionIn |
P27764
|
FINISHED |
| Object | American motorsports |
—
|
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: American motorsports | Statement: [Jim France, hasNotablePositionIn, American motorsports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotablePositionIn Context triple: [Jim France, hasNotablePositionIn, American motorsports]
-
A.
hasNotablePosition
Indicates that an entity holds or has held a position, role, or office considered notable or significant.
-
B.
hasNotableRoleIn
chosen
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
C.
hasNotableCenter
Indicates that an entity possesses a significant or distinguished central location, facility, or hub associated with it.
-
D.
hasNotablePerformanceIn
Indicates that an entity delivered a significant or distinguished performance within a specified work, event, or context.
-
E.
hasNotablePlayer
Indicates that an entity (such as a team or club) is associated with a player who is particularly distinguished, famous, or significant in its context.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057891dc88190997c4e32b2261fb3 |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.