Triple
T35330556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1991 NASCAR Busch Series |
E1020303
|
entity |
| Predicate | includesRoadCourses |
P206934
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1991 NASCAR Busch Series, includesRoadCourses, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesRoadCourses Context triple: [1991 NASCAR Busch Series, includesRoadCourses, true]
-
A.
usesInfieldRoadCourse
Indicates that something incorporates or operates on an infield road course as part of its route or layout.
-
B.
containsChampionshipCourse
Indicates that an entity includes or features a golf course that meets recognized championship-level standards.
-
C.
rangeRoad
Indicates that a road or route extends across or through a specified geographic range or area.
-
D.
hasOffRoadSections
Indicates that a route, path, or roadway includes segments that are not on standard paved or main roads, such as trails, dirt tracks, or other off-road portions.
-
E.
hasRoads
Indicates that there exist constructed road connections linking the related entities.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.