Triple
T16185990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knoxville Nationals |
E392803
|
entity |
| Predicate | finalRaceDistance |
P20127
|
FINISHED |
| Object | 50 laps |
—
|
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: 50 laps | Statement: [Knoxville Nationals, finalRaceDistance, 50 laps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalRaceDistance Context triple: [Knoxville Nationals, finalRaceDistance, 50 laps]
-
A.
raceDistanceApprox
Indicates that the distance of a race is approximately equal to a specified value, allowing for some margin of error rather than requiring an exact match.
-
B.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
C.
majorRaceDistance
chosen
Indicates the standard or primary distance over which a major race or competition is contested.
-
D.
timingOfRace
Indicates the temporal details or schedule associated with a race, such as its start time, duration, or overall timing.
-
E.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
- 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.