Triple
T27660956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nest Wifi |
E697119
|
entity |
| Predicate | pointHasMicrophone |
P22669
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Nest Wifi, pointHasMicrophone, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointHasMicrophone Context triple: [Nest Wifi, pointHasMicrophone, yes]
-
A.
hasMicrophones
chosen
Indicates that one entity possesses, includes, or is equipped with one or more microphones.
-
B.
hasSpeakerphone
Indicates that an entity is equipped with or supports the use of a speakerphone function for audio communication.
-
C.
supportsPushToTalk
Indicates that an entity provides or is compatible with push-to-talk functionality for initiating communication.
-
D.
pointHasSpeaker
Indicates that a specific point (e.g., in time, space, or discourse) is associated with a particular speaker.
-
E.
hasVoiceRecorder
Indicates that one entity possesses or is equipped with a voice recording device or capability in relation to another entity or context.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 2:36 p.m.