Triple
T30774075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujifilm X-H2 |
E783609
|
entity |
| Predicate | maxVideoFrameRateAt1080p |
P68881
|
FINISHED |
| Object | 240p |
—
|
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: 240p | Statement: [Fujifilm X-H2, maxVideoFrameRateAt1080p, 240p]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxVideoFrameRateAt1080p Context triple: [Fujifilm X-H2, maxVideoFrameRateAt1080p, 240p]
-
A.
propertyType_maxFramerate
chosen
Indicates the maximum frame rate value that the property can support or is configured to allow.
-
B.
maximumBitrate
Indicates the highest data transfer rate allowed or supported for a given media stream or connection.
-
C.
bluRayMaxBitrate
Indicates the maximum data transfer rate at which a Blu-ray disc or Blu-ray media stream can be encoded or played back.
-
D.
maximumVideoLength
Indicates the greatest allowable or supported duration for a video in this context.
-
E.
hasMaxMacroblocksPerSecond
Indicates the maximum number of macroblocks that can be processed or handled per second 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 8:40 p.m.