Triple
T7920668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xbox Series S |
E183935
|
entity |
| Predicate | maxFrameRate |
P68881
|
FINISHED |
| Object | 120 fps |
—
|
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: 120 fps | Statement: [Xbox Series S, maxFrameRate, 120 fps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxFrameRate Context triple: [Xbox Series S, maxFrameRate, 120 fps]
-
A.
propertyType_maxFramerate
chosen
Indicates the maximum frame rate value that the property can support or is configured to allow.
-
B.
originalFrameRate
Indicates the frame rate at which the original media content was captured or encoded before any conversion or processing.
-
C.
maximumBitrate
Indicates the highest data transfer rate allowed or supported for a given media stream or connection.
-
D.
maximumResolution
Indicates the highest level of detail or fineness at which something (such as an image, display, or measurement) can be represented or processed.
-
E.
frameSizeMaximum
Indicates the maximum allowable size or dimensions that a frame can have in a given context.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a9360f881908ca2433d0623315b |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:06 p.m.