Triple
T16186117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World of Outlaws Sprint Car Series (visiting event) |
E392807
|
entity |
| Predicate | raceVehicleType |
P1776
|
FINISHED |
| Object | Winged sprint car |
—
|
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: Winged sprint car | Statement: [World of Outlaws Sprint Car Series (visiting event), raceVehicleType, Winged sprint car]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceVehicleType Context triple: [World of Outlaws Sprint Car Series (visiting event), raceVehicleType, Winged sprint car]
-
A.
vehicleType
chosen
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
-
B.
mainVehicleClass
Indicates the primary category or type of vehicle to which an entity chiefly belongs.
-
C.
mainVehicle
Indicates that one vehicle is the primary or most important vehicle associated with a given entity or context.
-
D.
craftType
Indicates the specific kind or category of craft or vessel associated with an entity.
-
E.
raceComponent
Indicates that one entity is a constituent part, segment, or stage within a larger race or racing event involving another entity.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22061f47481909ededd5eed40f5a4 |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.