Triple
T27660957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nest Wifi |
E697119
|
entity |
| Predicate | pointAdditionalFunction |
P2114
|
FINISHED |
| Object | smart speaker |
—
|
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: smart speaker | Statement: [Nest Wifi, pointAdditionalFunction, smart speaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointAdditionalFunction Context triple: [Nest Wifi, pointAdditionalFunction, smart speaker]
-
A.
additionalPoints
Indicates that one entity grants or is associated with extra points or bonus scoring in relation to another entity.
-
B.
secondaryFunction
chosen
Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
-
C.
auxiliaryFeature
Indicates that one feature functions as a secondary or supporting capability to another primary feature.
-
D.
featuresSupplication
Indicates that one entity performs or exhibits an act of earnest pleading, begging, or humble request directed toward another entity.
-
E.
周辺機能
Indicates a relationship where something provides or relates to auxiliary or surrounding functions/features that support a main function or system.
- 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_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 2:36 p.m.