Triple
T14324294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicagoland Speedway |
E355174
|
entity |
| Predicate | infieldRoadCourseLength |
P113981
|
FINISHED |
| Object | 2.2 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: 2.2 miles | Statement: [Chicagoland Speedway, infieldRoadCourseLength, 2.2 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infieldRoadCourseLength Context triple: [Chicagoland Speedway, infieldRoadCourseLength, 2.2 miles]
-
A.
infieldSurface
Indicates that one entity serves as the playing surface material or type for the infield area of another entity (such as a sports field or stadium).
-
B.
infieldCapacity
Indicates the maximum number of entities that can be accommodated within a defined infield area or region.
-
C.
hasIndoorTrack
Indicates that a place or facility includes an indoor track as one of its features or amenities.
-
D.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
-
E.
hasStraightCourseDistance
Indicates that a route or path has a specified distance measured along its straight, unobstructed course.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883d1de88190a1e2bf2f1b692197 |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e9ded24819099200349cf80e068 |
completed | April 14, 2026, 12:10 p.m. |
Created at: April 10, 2026, 1:13 a.m.