Triple
T24976538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raleigh Grifter |
E625036
|
entity |
| Predicate | seatPostType |
P157493
|
FINISHED |
| Object | adjustable seatpost |
—
|
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: adjustable seatpost | Statement: [Raleigh Grifter, seatPostType, adjustable seatpost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatPostType Context triple: [Raleigh Grifter, seatPostType, adjustable seatpost]
-
A.
seatStructure
Indicates that one entity serves as the structural or physical seating component or arrangement associated with another entity.
-
B.
seatHeight
Indicates the vertical distance of a seat’s sitting surface from a reference level, typically the floor or ground.
-
C.
seatOn
Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
-
D.
seatHeightApprox
Indicates that the height of a seat is approximately equal to a specified reference value or measurement.
-
E.
seatIs
Indicates that one entity functions as the seat or seating position of another entity.
- F. None of above. chosen
Provenance (4 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490283c481908c18246dc7125eec |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:02 a.m.