Triple
T35795703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1938 Swiss Grand Prix |
E1034823
|
entity |
| Predicate | fastestLapCar |
P185701
|
FINISHED |
| Object | Mercedes-Benz W154 |
—
|
NE NERFINISHED |
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: Mercedes-Benz W154 | Statement: [1938 Swiss Grand Prix, fastestLapCar, Mercedes-Benz W154]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastestLapCar Context triple: [1938 Swiss Grand Prix, fastestLapCar, Mercedes-Benz W154]
-
A.
fastestLapTime
Indicates the shortest recorded time an entity achieved to complete a single lap in a given context or event.
-
B.
fastestLapShared
Indicates that two or more participants share the same fastest lap time in a given event or session.
-
C.
driversChampionFastestLaps
Indicates that the driver won the championship and also recorded the highest number of fastest laps.
-
D.
fastestLapDriverCountry
Indicates the country associated with the driver who recorded the fastest lap in a given race or session.
-
E.
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.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7c33d59808190b647989a093f3488 |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c29cf36481908e472d4dcb5573b9 |
completed | May 3, 2026, 9:48 p.m. |
Created at: May 3, 2026, 4:06 p.m.