Triple
T17654582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Grand Prix |
E429586
|
entity |
| Predicate | typicalLaps |
P42384
|
FINISHED |
| Object | 70 |
—
|
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: 70 | Statement: [Canadian Grand Prix, typicalLaps, 70]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLaps Context triple: [Canadian Grand Prix, typicalLaps, 70]
-
A.
typicalRaceDistanceLaps
chosen
Indicates the usual number of laps that constitute the standard race distance for a given racing event or category.
-
B.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
C.
laps
Indicates that one entity moves around another entity or a course, typically completing a circuit or overtaking it.
-
D.
typicalRaceLengthCategory
Indicates the usual distance range or length classification that a race is most commonly run at.
-
E.
typicalNumberOfCycles
Indicates the usual or characteristic count of cycles associated with an entity, process, or event.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3fc6e8819080098a3cd0183811 |
completed | April 19, 2026, 5:55 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 6:05 a.m.