Triple
T37268561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley-Davidson Breakout |
E924451
|
entity |
| Predicate | handlebarStyle |
P88228
|
FINISHED |
| Object | drag-style handlebars |
—
|
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: drag-style handlebars | Statement: [Harley-Davidson Breakout, handlebarStyle, drag-style handlebars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlebarStyle Context triple: [Harley-Davidson Breakout, handlebarStyle, drag-style handlebars]
-
A.
handlebarType
chosen
Indicates the specific style or design of handlebars associated with an entity.
-
B.
handlebarHeight
Indicates the height of a bicycle’s handlebars relative to a reference point, such as the ground or the bike frame.
-
C.
brimStyle
Indicates the specific shape, width, or design of the brim portion of a hat or similar headwear.
-
D.
usedHandlebarStrapTo
Indicates that an entity employed a handlebar strap as the means or tool to perform an action involving another entity.
-
E.
hasHandlebarFairing
Indicates that an object is equipped with a fairing specifically mounted on or integrated into its handlebars.
- 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_69f76eacdd8c819094080d3991e6d37c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.