Triple
T22401336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1982 World 600 |
E553767
|
entity |
| Predicate | mostLapsLed |
P148015
|
FINISHED |
| Object | 132 |
—
|
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: 132 | Statement: [1982 World 600, mostLapsLed, 132]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostLapsLed Context triple: [1982 World 600, mostLapsLed, 132]
-
A.
mostLapsLedDriver
Indicates the driver who led the highest number of laps during a given race or set of races.
-
B.
winnerLaps
Indicates that one participant completed more laps than another, thereby winning based on lap count.
-
C.
safetyCarLapRecordHolder
Indicates that one entity holds the record for the most notable or fastest performance during a lap completed under safety car conditions in a race.
-
D.
grandPrixFastestLaps
Indicates the relationship where a driver records the fastest lap time during a specific Grand Prix race.
-
E.
fastestLapDriverCountry
Indicates the country associated with the driver who recorded the fastest lap in a given race or session.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b4a96c8190838f5dda21c4d853 |
completed | April 29, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:46 p.m.