Triple
T11352325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matroska |
E268865
|
entity |
| Predicate | supportsSubtitlesFormat |
P85212
|
FINISHED |
| Object | SRT |
—
|
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: SRT | Statement: [Matroska, supportsSubtitlesFormat, SRT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSubtitlesFormat Context triple: [Matroska, supportsSubtitlesFormat, SRT]
-
A.
hasSubtitles
Indicates that one media item provides subtitle text or tracks that accompany another media item or its audio content.
-
B.
supportsSubtitleTrackSelection
Indicates that an entity provides functionality to choose or switch between available subtitle tracks.
-
C.
supportsTextFormat
chosen
Indicates that one entity is capable of handling, rendering, or otherwise working with a specified text format.
-
D.
languageOfSubtitles
Indicates the language in which the subtitles for a given media item are provided.
-
E.
supportsBackupFormat
Indicates that one entity is capable of handling, storing, or operating with another entity as a backup data format.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.