Triple
T30350717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony WI-C310 |
E771980
|
entity |
| Predicate | microphonePlacement |
P22669
|
FINISHED |
| Object | in-line |
—
|
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: in-line | Statement: [Sony WI-C310, microphonePlacement, in-line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: microphonePlacement Context triple: [Sony WI-C310, microphonePlacement, in-line]
-
A.
speakerPosition
Indicates the spatial or contextual location of a speaker relative to other entities or a reference frame during an utterance or event.
-
B.
hasMicrophones
chosen
Indicates that one entity possesses, includes, or is equipped with one or more microphones.
-
C.
devicePlacement
Indicates the spatial or positional arrangement of a device relative to its environment or other objects.
-
D.
supportsSpeakerPlacement
Indicates that one entity provides a suitable location or structure for positioning or mounting a speaker.
-
E.
speakerConfiguration
Indicates how speakers are arranged or assigned within an audio or communication setup.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6820b4b8c81908f5bbae956565ec0 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:56 p.m.