Triple
T28991431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stewart-Haas Racing |
E736033
|
entity |
| Predicate | switchedToFord |
P42640
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Stewart-Haas Racing, switchedToFord, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: switchedToFord Context triple: [Stewart-Haas Racing, switchedToFord, 2017]
-
A.
switchedToManufacturer
chosen
Indicates that an entity has changed its affiliation or sourcing from a previous provider to a new manufacturer.
-
B.
yearFordProductionMovedOut
Indicates the year in which Ford’s production operations were relocated away from a particular place.
-
C.
successorBodyStyleChange
Indicates that one body style directly follows and replaces another in a sequence of design or model changes.
-
D.
openedToAutomobiles
Indicates that something (such as a route, facility, or area) is accessible or available for use by automobiles.
-
E.
wasKeyVehicleIn
Indicates that a vehicle played a central or decisive role in a specified event, situation, or outcome.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 9:26 a.m.