Triple
T27636561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MatSnackBar |
E696486
|
entity |
| Predicate | supportsAnnouncementsForScreenReaders |
P80912
|
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: [MatSnackBar, supportsAnnouncementsForScreenReaders, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAnnouncementsForScreenReaders Context triple: [MatSnackBar, supportsAnnouncementsForScreenReaders, true]
-
A.
hasAnnouncementsSystem
Indicates that an entity is equipped with or uses a system for creating, managing, and delivering announcements.
-
B.
hasAnnouncement
Indicates that an entity issues, contains, or is associated with a specific announcement.
-
C.
includesStageAnnouncements
Indicates that an event or program explicitly contains scheduled announcements made from the stage as part of its content or proceedings.
-
D.
accessibilityFeatures
chosen
Indicates the specific tools, settings, or design elements provided to make something usable or understandable for people with disabilities or diverse access needs.
-
E.
hasAutomaticTrainAnnouncements
Indicates that a transportation system or vehicle provides automated audio or visual announcements about train operations or stops.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
Created at: April 27, 2026, 2:24 p.m.