Triple
T33670307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cole Trickle |
E862598
|
entity |
| Predicate | settingOfRaces |
P149934
|
FINISHED |
| Object | Daytona International Speedway |
—
|
NE NERFINISHED |
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: Daytona International Speedway | Statement: [Cole Trickle, settingOfRaces, Daytona International Speedway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfRaces Context triple: [Cole Trickle, settingOfRaces, Daytona International Speedway]
-
A.
races
Indicates that one entity competes in a speed-based contest or race against another entity.
-
B.
racecourseSetting
chosen
Indicates that an event, scene, or activity takes place in the context or environment of a racecourse.
-
C.
numberOfRaces
Indicates the total count of races associated with a given entity or event.
-
D.
racesAgainst
Indicates that one entity competes in a race directly against another entity.
-
E.
featuresRaceBetween
Indicates that an event or context includes or showcases a competitive race occurring between participants.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 1, 2026, 1:42 a.m.