Triple
T16145547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolex 24 at Daytona |
E391771
|
entity |
| Predicate | raceDuration |
P47077
|
FINISHED |
| Object | 24 hours |
—
|
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: 24 hours | Statement: [Rolex 24 at Daytona, raceDuration, 24 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceDuration Context triple: [Rolex 24 at Daytona, raceDuration, 24 hours]
-
A.
timingOfRace
chosen
Indicates the temporal details or schedule associated with a race, such as its start time, duration, or overall timing.
-
B.
raceRecord
Indicates that there exists a recorded result or performance entry for an entity participating in a race or competitive event.
-
C.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
-
D.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
E.
raceAdded
Indicates that a race event or race-related record has been newly created or incorporated into a system or dataset.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9376fc8190bd9ef586b00c1d3b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.