Triple
T26032511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nd Cube |
E647471
|
entity |
| Predicate | targetPlatformEcosystem |
P57204
|
FINISHED |
| Object | Nintendo platforms |
—
|
NE NERFINISHED |
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: Nintendo platforms | Statement: [Nd Cube, targetPlatformEcosystem, Nintendo platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetPlatformEcosystem Context triple: [Nd Cube, targetPlatformEcosystem, Nintendo platforms]
-
A.
targetsEcosystem
chosen
Indicates that an action, product, or policy is directed toward, affects, or is specifically intended for a particular ecosystem.
-
B.
targetPlatformFeature
Indicates that a particular feature is available on, or specifically associated with, a given target platform.
-
C.
targetPlatformManufacturer
Indicates that one entity is the manufacturer or producer of the platform targeted or used by another entity.
-
D.
typicalPlatform
Indicates that something commonly or usually serves as the platform or environment on which another thing operates, appears, or is based.
-
E.
platforms
Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 22, 2026, 9:06 a.m.