Triple
T16956006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bank of America Roval 400 |
E411302
|
entity |
| Predicate | typicalRaceLengthCategory |
P125380
|
FINISHED |
| Object | 400-kilometer class race |
—
|
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: 400-kilometer class race | Statement: [Bank of America Roval 400, typicalRaceLengthCategory, 400-kilometer class race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRaceLengthCategory Context triple: [Bank of America Roval 400, typicalRaceLengthCategory, 400-kilometer class race]
-
A.
typicalRaceDistanceUnit
Indicates the standard unit of measurement used to express the usual race distance associated with an entity.
-
B.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
C.
majorRaceDistance
Indicates the standard or primary distance over which a major race or competition is contested.
-
D.
typicalRaceDistanceLaps
Indicates the usual number of laps that constitute the standard race distance for a given racing event or category.
-
E.
trailLengthCategory
Indicates the classification of a trail based on its total length (e.g., short, medium, long).
- F. None of above. chosen
Provenance (4 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01bb700819082a441c124be3cb6 |
completed | April 18, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:31 a.m.