Triple
T6172869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prix of Long Beach |
E137744
|
entity |
| Predicate | approximateCourseLength |
P69213
|
FINISHED |
| Object | 1.968 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: 1.968 miles | Statement: [Grand Prix of Long Beach, approximateCourseLength, 1.968 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateCourseLength Context triple: [Grand Prix of Long Beach, approximateCourseLength, 1.968 miles]
-
A.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
B.
approximateLengthInMeters
Indicates the estimated or roughly measured length of something expressed in meters.
-
C.
numberOfCourses
Indicates the quantity of courses associated with a given entity.
-
D.
lengthInMinutes
Indicates the duration of something expressed as a number of minutes.
-
E.
programLength
Indicates the duration or total length of a program, typically measured in time or size.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d9319548190980c99f692bd4115 |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:18 p.m.