Triple
T27636589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MatSnackBar |
E696486
|
entity |
| Predicate | supportsRTL |
P200119
|
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, supportsRTL, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRTL Context triple: [MatSnackBar, supportsRTL, true]
-
A.
supportsInternationalOrientation
Indicates that one entity facilitates, promotes, or enables the international focus, outlook, or activities of another entity.
-
B.
supportsLandscapeMode
Indicates that an entity is capable of functioning or being displayed correctly when oriented in landscape mode.
-
C.
hasWritingDirection
Indicates the direction in which writing or text is read or written for a given script, language, or text system.
-
D.
supportsLTE
Indicates that one entity provides compatibility with or functionality for LTE (Long-Term Evolution) cellular communication for another entity.
-
E.
hasCalligraphyLanguage
Indicates that an entity’s calligraphy is written in, or associated with, a particular language.
- 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_69ff76ac40988190a34d858b5472ee2b |
completed | May 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69ff760a90948190a12fcb80e6e3e14b |
completed | May 9, 2026, 5:59 p.m. |
| PDg | Predicate description generation | batch_69ff76ab9b4c8190b4cc7c9c733b2765 |
completed | May 9, 2026, 6:02 p.m. |
Created at: April 27, 2026, 2:24 p.m.