Triple
T31498183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quick Note |
E803604
|
entity |
| Predicate | belongsToFeatureSet |
P194356
|
FINISHED |
| Object | productivity features of macOS |
—
|
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: productivity features of macOS | Statement: [Quick Note, belongsToFeatureSet, productivity features of macOS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToFeatureSet Context triple: [Quick Note, belongsToFeatureSet, productivity features of macOS]
-
A.
belongsToFeature
chosen
Indicates that one entity is a component, attribute, or part of a larger feature or functionality associated with another entity.
-
B.
isFeatureOf
Indicates that something functions as a characteristic, attribute, or component belonging to or describing another entity.
-
C.
featureSet
Indicates that one entity is a collection or configuration of features associated with or applied to another entity.
-
D.
appliesToFeature
Indicates that something (such as a rule, constraint, or configuration) is relevant to, or governs, a specific feature.
-
E.
isPartOfSystemWithFeature
Indicates that one entity belongs to a system that possesses a specified feature or characteristic.
- 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: April 30, 2026, 9:42 p.m.