Triple
T37031548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utah Motorsports Campus |
E916508
|
entity |
| Predicate | hasEastCourseLength |
P82629
|
FINISHED |
| Object | 2.2 mi |
—
|
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: 2.2 mi | Statement: [Utah Motorsports Campus, hasEastCourseLength, 2.2 mi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEastCourseLength Context triple: [Utah Motorsports Campus, hasEastCourseLength, 2.2 mi]
-
A.
hasCourseLength
chosen
Indicates that an entity (such as a course) is associated with a specific duration or length.
-
B.
hasCourseLengthUnit
Indicates the unit of measurement used to express the length or duration of a course.
-
C.
hasMinimumCourseLength
Indicates that there is a required minimum duration or length that a course must meet or exceed.
-
D.
hasParEastCourse
Indicates that an entity has a related course located to its east that is considered parallel (par) to it in layout or alignment.
-
E.
hasStraightCourseDistance
Indicates that a route or path has a specified distance measured along its straight, unobstructed course.
- 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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.