Triple
T37268567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley-Davidson Breakout |
E924451
|
entity |
| Predicate | frameLayout |
P158698
|
FINISHED |
| Object | low-slung frame |
—
|
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: low-slung frame | Statement: [Harley-Davidson Breakout, frameLayout, low-slung frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameLayout Context triple: [Harley-Davidson Breakout, frameLayout, low-slung frame]
-
A.
frameGeometry
chosen
Indicates that one entity defines or specifies the geometric properties, dimensions, or spatial configuration of another entity’s frame or structural outline.
-
B.
frameShape
Indicates that one entity has the specified geometric or structural shape of a frame in relation to another entity.
-
C.
frameDesigner
Indicates that one entity is the designer or creator responsible for the conceptual or structural design of another entity.
-
D.
frameControl
Indicates that one entity exerts influence over how another entity perceives, interprets, or defines a situation, thereby shaping the context or "frame" within which interactions occur.
-
E.
frame
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
- 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.