Triple
T38052284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley-Davidson Dyna |
E949796
|
entity |
| Predicate | frameMounting |
P122707
|
FINISHED |
| Object | rubber-mounted engine |
—
|
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: rubber-mounted engine | Statement: [Harley-Davidson Dyna, frameMounting, rubber-mounted engine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameMounting Context triple: [Harley-Davidson Dyna, frameMounting, rubber-mounted engine]
-
A.
frame
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
-
B.
frameLocation
Indicates that one entity serves as the spatial or contextual frame of reference within which another entity is located or interpreted.
-
C.
guardMounting
Indicates the action of assigning or taking up a position for guard duty, typically as part of a scheduled security or watch rotation.
-
D.
frameGeometry
Indicates that one entity defines or specifies the geometric properties, dimensions, or spatial configuration of another entity’s frame or structural outline.
-
E.
frameFunction
chosen
Indicates that one entity serves as a functional or structural frame that supports, constrains, or organizes another entity or process.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.