Triple
T5270103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nintendo DS |
E119234
|
entity |
| Predicate | hasFaceButtons |
P62734
|
FINISHED |
| Object | A B X Y 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 buttons | Statement: [Nintendo DS, hasFaceButtons, A B X Y buttons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFaceButtons Context triple: [Nintendo DS, hasFaceButtons, A B X Y buttons]
-
A.
hasFace
Indicates that one entity possesses, displays, or is characterized by a face.
-
B.
hasTwoMainFaces
Indicates that an entity possesses exactly two primary or most prominent faces or sides.
-
C.
hasIOPads
Indicates that an entity is equipped with or associated with input/output pads used for electrical or signal connections.
-
D.
designedToFace
Indicates that one entity has been intentionally oriented or configured so that its front, surface, or primary direction points toward another entity or reference direction.
-
E.
faceType
Indicates the specific shape or structural category of a face that an entity possesses or is characterized by.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7d5906d88190b805977e5a05767a |
completed | March 20, 2026, 5:01 p.m. |
Created at: March 20, 2026, 1:51 p.m.