Triple
T30383823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony WH-CH520 |
E772895
|
entity |
| Predicate | microphoneType |
P22669
|
FINISHED |
| Object | built-in electret or MEMS mic (typical for this class) |
—
|
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: built-in electret or MEMS mic (typical for this class) | Statement: [Sony WH-CH520, microphoneType, built-in electret or MEMS mic (typical for this class)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: microphoneType Context triple: [Sony WH-CH520, microphoneType, built-in electret or MEMS mic (typical for this class)]
-
A.
hasMicrophones
chosen
Indicates that one entity possesses, includes, or is equipped with one or more microphones.
-
B.
recordingType
Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
-
C.
hasSpeakerType
Indicates that an entity functions in a particular role or category as a speaker (e.g., narrator, character, announcer) within a given context.
-
D.
audioJackType
Indicates the specific kind or standard of audio jack interface used or supported in the relationship.
-
E.
headphoneType
Indicates the specific kind or category of headphones associated with an entity (e.g., in-ear, over-ear, wireless).
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6851c44108190822e8d70e1114e09 |
completed | May 2, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:01 p.m.