Triple
T27636558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MatSnackBar |
E696486
|
entity |
| Predicate | supportsCustomComponentContent |
P200021
|
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, supportsCustomComponentContent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCustomComponentContent Context triple: [MatSnackBar, supportsCustomComponentContent, true]
-
A.
supportsContentModels
Indicates that an entity provides compatibility with, or can operate using, specified content models.
-
B.
supportsCommunityContent
Indicates that an entity enables, hosts, or facilitates content created and shared by its user or community base.
-
C.
supportsContentBrands
Indicates that one entity provides functionality, compatibility, or infrastructure necessary for the operation or distribution of specific content brands.
-
D.
supportsWidgetType
Indicates that one entity is capable of handling, operating with, or being compatible with a specified type of widget.
-
E.
supportsOnlineContent
Indicates that one entity provides the infrastructure, functionality, or capability for another entity to host, deliver, or interact with content over the internet.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ff6c061c6c81909ff485e9cafc88a2 |
completed | May 9, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ff6aaf886c8190a3c87d089453f3de |
completed | May 9, 2026, 5:11 p.m. |
| PDg | Predicate description generation | batch_69ff6c04fa208190b1fab40a71ef923f |
completed | May 9, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:24 p.m.