Triple
T35752535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 German Grand Prix |
E1033353
|
entity |
| Predicate | partOfChampionship |
P126978
|
FINISHED |
| Object | FIA Formula One World Championship |
—
|
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: FIA Formula One World Championship | Statement: [2016 German Grand Prix, partOfChampionship, FIA Formula One World Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfChampionship Context triple: [2016 German Grand Prix, partOfChampionship, FIA Formula One World Championship]
-
A.
championshipFor
Indicates that a championship event or title is held, awarded, or designated for a particular competition, season, or category.
-
B.
partOfMultiSportEvent
Indicates that an event or competition is included as one component within a larger multi-sport event.
-
C.
enteredChampionship
Indicates that an entity has qualified for or been admitted into a championship competition.
-
D.
roundOfChampionship
chosen
Indicates the specific stage or round within a championship competition in which an event, match, or result takes place.
-
E.
championshipSeries
Indicates a competitive series of contests or games that determines a champion between qualifying participants.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00a15604fc8190b1c280794960f3a4 |
completed | May 10, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_6a00a0f7e77881909ac85755ab0e6329 |
completed | May 10, 2026, 3:15 p.m. |
Created at: May 3, 2026, 4:06 p.m.