Triple
T1653870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surface Go 3 |
E35753
|
entity |
| Predicate | kickstandAngle |
P23551
|
FINISHED |
| Object | up to 165 degrees |
—
|
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: up to 165 degrees | Statement: [Surface Go 3, kickstandAngle, up to 165 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kickstandAngle Context triple: [Surface Go 3, kickstandAngle, up to 165 degrees]
-
A.
tiltingCapability
Indicates the ability of one entity to tilt or be tilted relative to another or to a reference orientation.
-
B.
rideSystem
Indicates that one entity uses or travels on a transportation system or service provided by another entity.
-
C.
bendAngle
chosen
Indicates the degree to which one part is bent relative to another, typically measured as the angle formed at their joint or intersection.
-
D.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
E.
rideType
Indicates the specific category or mode of transportation involved in a ride (e.g., standard, shared, premium).
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.