Triple
T9550252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α6000 series |
E230402
|
entity |
| Predicate | supportsJPEG |
P89748
|
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: [Sony α6000 series, supportsJPEG, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsJPEG Context triple: [Sony α6000 series, supportsJPEG, true]
-
A.
supportsHEIF
Indicates that one entity provides compatibility with or the ability to handle HEIF (High Efficiency Image File) format for another entity.
-
B.
containsImage
Indicates that one entity includes or embeds an image as part of its content or structure.
-
C.
supportsColorSampling
Indicates that one entity can perform or accommodate color sampling operations on another entity or its data.
-
D.
supportsSavingToCameraRoll
Indicates whether an action or feature allows content to be saved directly to the device’s camera roll.
-
E.
hasAIPhotoFeatures
Indicates that an entity provides or supports photo-related features powered by artificial intelligence.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9906bc90819086f105c453e63c83 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:02 p.m.