Triple
T14976086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wii U Pro Controller |
E373450
|
entity |
| Predicate | hasButtonLabeling |
P44780
|
FINISHED |
| Object | A B X Y face buttons |
—
|
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: A B X Y face buttons | Statement: [Wii U Pro Controller, hasButtonLabeling, A B X Y face buttons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasButtonLabeling Context triple: [Wii U Pro Controller, hasButtonLabeling, A B X Y face buttons]
-
A.
hasButtons
Indicates that an entity possesses one or more buttons as part of its features or design.
-
B.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
C.
isLabeledOn
Indicates that a label, tag, or identifying text is physically or virtually attached to or displayed on an entity.
-
D.
hasLabelSet
chosen
Indicates that an entity is associated with a specific collection or set of labels.
-
E.
hasDirectionLabels
Indicates that a subject is associated with one or more labels specifying directions or orientations.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e8733081908e06b53746eb6eb6 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:51 a.m.