Triple
T7088973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echo Studio |
E165143
|
entity |
| Predicate | hasButton |
P34290
|
FINISHED |
| Object | microphone off button |
—
|
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: microphone off button | Statement: [Echo Studio, hasButton, microphone off button]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasButton Context triple: [Echo Studio, hasButton, microphone off button]
-
A.
hasOnboardButton
chosen
Indicates that one entity is equipped with or includes a button installed on or within it.
-
B.
hasFaceButtons
Indicates that an object or device includes one or more interactive buttons located on its front-facing surface.
-
C.
buttonType
Indicates the specific category or style of a button within a user interface or control set.
-
D.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
E.
hasShoulderButtons
Indicates that an object, typically a device or controller, includes buttons positioned on its shoulders or top side edges.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e52ec0348190ac090c2fee3edfb8 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.