Triple
T8287370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ease of Access Center |
E193815
|
entity |
| Predicate | providesSetting |
P32516
|
FINISHED |
| Object | text size adjustment |
—
|
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: text size adjustment | Statement: [Ease of Access Center, providesSetting, text size adjustment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesSetting Context triple: [Ease of Access Center, providesSetting, text size adjustment]
-
A.
featuresSetting
chosen
Indicates that something includes, presents, or highlights a particular setting as a notable or primary aspect.
-
B.
providesTrainingSetting
Indicates that one entity serves as the environment or context in which training or educational activities are conducted for another entity.
-
C.
usedAsSettingFor
Indicates that one entity serves as the backdrop, location, or environment in which another entity (such as an event, story, or activity) takes place.
-
D.
standardSettingFor
Indicates that one entity establishes or defines the norms, criteria, or benchmarks that another entity is expected to follow or be measured against.
-
E.
hasSetting
Indicates that an entity takes place, occurs, or exists within a particular environment, context, or location.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad4b2008190ad1624e1335147c6 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.