Triple
T19971905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TT Zero |
E480096
|
entity |
| Predicate | notableCompetitor |
P11706
|
FINISHED |
| Object | MotoCzysz |
—
|
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: MotoCzysz | Statement: [TT Zero, notableCompetitor, MotoCzysz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MotoCzysz Context triple: [TT Zero, notableCompetitor, MotoCzysz]
-
A.
MotoCzysz
chosen
MotoCzysz was an innovative American motorcycle company best known for its advanced electric racing bikes and pioneering engineering in high-performance motorcycle design.
-
B.
Zero Motorcycles
Zero Motorcycles is an American manufacturer specializing in high-performance electric motorcycles for both street and off-road use.
-
C.
Aprilia
Aprilia is a town and municipality in the Lazio region of central Italy, known for its agricultural production and proximity to Rome.
-
D.
Aprilia
Aprilia is an Italian motorcycle manufacturer renowned for its high-performance racing bikes and participation in premier motorcycle racing championships.
-
E.
Moto
Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc9694881909a31841702ab9e5f |
completed | April 20, 2026, 5 p.m. |
Created at: April 10, 2026, 1:54 p.m.