Triple
T35330560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1991 NASCAR Busch Series |
E1020303
|
entity |
| Predicate | primaryRaceDistanceUnit |
P66191
|
FINISHED |
| Object | 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: miles | Statement: [1991 NASCAR Busch Series, primaryRaceDistanceUnit, miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRaceDistanceUnit Context triple: [1991 NASCAR Busch Series, primaryRaceDistanceUnit, miles]
-
A.
typicalRaceDistanceUnit
chosen
Indicates the standard unit of measurement used to express the usual race distance associated with an entity.
-
B.
hasDistanceUnit
Indicates that a specified unit of measurement is used to express a distance value in the relationship.
-
C.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
D.
majorRaceDistance
Indicates the standard or primary distance over which a major race or competition is contested.
-
E.
approximateDistanceUnit
Indicates that the distance value is expressed in an approximate or non-exact unit of measurement.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.