Triple
T26229418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martinsville Speedway |
E655987
|
entity |
| Predicate | cupRaceDistance |
P134622
|
FINISHED |
| Object | 263 miles |
—
|
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: 263 miles | Statement: [Martinsville Speedway, cupRaceDistance, 263 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cupRaceDistance Context triple: [Martinsville Speedway, cupRaceDistance, 263 miles]
-
A.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
B.
distancePerRace
chosen
Indicates the total distance covered in a single race event or instance.
-
C.
majorRaceDistance
Indicates the standard or primary distance over which a major race or competition is contested.
-
D.
typicalRaceLengthCategory
Indicates the usual distance range or length classification that a race is most commonly run at.
-
E.
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.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d56b0388190826b97fa17dc97ce |
completed | May 2, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 8:59 p.m.