Triple
T17300066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USA 17 |
E420016
|
entity |
| Predicate | team |
P3756
|
FINISHED |
| Object | BMW Oracle Racing |
—
|
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: BMW Oracle Racing | Statement: [USA 17, team, BMW Oracle Racing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW Oracle Racing Context triple: [USA 17, team, BMW Oracle Racing]
-
A.
BMW Oracle Racing
chosen
BMW Oracle Racing was a prominent American yacht racing team backed by Oracle Corporation that competed at the highest levels of the America’s Cup.
-
B.
Land Rover BAR
Land Rover BAR is a British sailing team founded by Sir Ben Ainslie to compete in the America’s Cup under the British flag.
-
C.
FG Sport
FG Sport is a motorsport promotion and management company best known for its past role in running and commercializing the Superbike World Championship.
-
D.
Laurin & Klement racing team
The Laurin & Klement racing team was the motorsport arm of the early Czech automobile and motorcycle manufacturer Laurin & Klement, competing in races to promote and develop the brand’s vehicles.
-
E.
Orica
Orica is a municipality in central Honduras known for its rural communities and agricultural activities within the Francisco Morazán Department.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438f9e5ac8190ba0b5820790112d9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:41 a.m.