Triple
T37589131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley-Davidson Street 500 |
E935208
|
entity |
| Predicate | seatHeightCategory |
P141765
|
FINISHED |
| Object | low seat height |
—
|
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 seat height | Statement: [Harley-Davidson Street 500, seatHeightCategory, low seat height]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatHeightCategory Context triple: [Harley-Davidson Street 500, seatHeightCategory, low seat height]
-
A.
seatHeight
Indicates the vertical distance of a seat’s sitting surface from a reference level, typically the floor or ground.
-
B.
seatHeightApprox
Indicates that the height of a seat is approximately equal to a specified reference value or measurement.
-
C.
hasLowSeatHeight
chosen
Indicates that an entity’s seat is positioned at a relatively low height compared to a typical or reference standard.
-
D.
seatOrBase
Indicates that one entity serves as the seat, base, or supporting foundation for another entity.
-
E.
chairType
Indicates the specific kind or category of chair that an entity is classified as.
- 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.