Triple
T37589134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley-Davidson Street 500 |
E935208
|
entity |
| Predicate | footpegPosition |
P187682
|
FINISHED |
| Object | mid-mounted footpegs |
—
|
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: mid-mounted footpegs | Statement: [Harley-Davidson Street 500, footpegPosition, mid-mounted footpegs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footpegPosition Context triple: [Harley-Davidson Street 500, footpegPosition, mid-mounted footpegs]
-
A.
footControlPosition
chosen
Indicates the spatial position or placement of a foot used to control or operate something.
-
B.
rackPosition
Indicates the spatial placement or slot of an item within a rack or racking system.
-
C.
bearerPosition
Indicates the spatial or positional relationship of a bearer (holder or carrier) relative to the item or entity it bears.
-
D.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
-
E.
hasFootstool
Indicates that one entity possesses or is accompanied by a footstool associated with it.
- 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.