Triple
T9026579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Game Boy Player |
E216060
|
entity |
| Predicate | mountsVia |
P57768
|
FINISHED |
| Object | high-speed port on Nintendo GameCube |
—
|
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: high-speed port on Nintendo GameCube | Statement: [Game Boy Player, mountsVia, high-speed port on Nintendo GameCube]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountsVia Context triple: [Game Boy Player, mountsVia, high-speed port on Nintendo GameCube]
-
A.
mountType
Indicates the manner or configuration in which one object is mounted or attached to another.
-
B.
mountOf
Indicates that one entity serves as the mount or riding animal/creature used by another entity.
-
C.
mountingLocation
Indicates the physical position or surface on which something is attached, fixed, or installed.
-
D.
mountOptionOf
Indicates that a specified mount option is associated with, or applies to, a particular filesystem mount.
-
E.
mountingInterface
chosen
Indicates that one entity serves as the surface, structure, or connection point onto which another entity is mounted or attached.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7eb5b881908ace0c3327f06161 |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:07 p.m.