Triple
T2557202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nintendo Switch |
E56752
|
entity |
| Predicate | supportsTVMode |
P31547
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nintendo Switch, supportsTVMode, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTVMode Context triple: [Nintendo Switch, supportsTVMode, true]
-
A.
supportsRemotePlay
Indicates that one entity enables or is compatible with remote play functionality for another entity.
-
B.
supportsExternalDisplay
chosen
Indicates that an entity is capable of connecting to and functioning with an external display device.
-
C.
supportsAirPlay
Indicates that one entity is capable of sending or receiving media via Apple’s AirPlay streaming protocol in relation to another entity.
-
D.
televisionAspect
Indicates the aspect ratio or format characteristics of a television display in relation to its width and height proportions.
-
E.
televisionExposureLevel
Indicates the degree or amount of exposure an entity has to television content.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.