Triple
T35564285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team Penske No. 22 Ford Mustang (NASCAR Cup Series) |
E1027725
|
entity |
| Predicate | fullTimeEntry |
P136438
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Team Penske No. 22 Ford Mustang (NASCAR Cup Series), fullTimeEntry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullTimeEntry Context triple: [Team Penske No. 22 Ford Mustang (NASCAR Cup Series), fullTimeEntry, true]
-
A.
commonEmployment
Indicates that two or more entities share the same employer or have worked for the same organization.
-
B.
isFullTimeUnit
chosen
Indicates that a unit operates or is engaged on a full-time basis rather than part-time or intermittently.
-
C.
entryFor
Indicates that one entity serves as the specific record, representation, or listing corresponding to another entity.
-
D.
timePeriodOfWorks
Indicates the span of time during which the associated works were created, produced, or active.
-
E.
partTimeOccupation
Indicates that an entity holds a job or role on a part-time basis rather than full-time.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.