Triple
T28614029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnifier |
E724234
|
entity |
| Predicate | accessibilityFeatureOf |
P80912
|
FINISHED |
| Object | Windows |
—
|
NE NERFINISHED |
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: Windows | Statement: [Magnifier, accessibilityFeatureOf, Windows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessibilityFeatureOf Context triple: [Magnifier, accessibilityFeatureOf, Windows]
-
A.
accessibilityFeatures
chosen
Indicates the specific tools, settings, or design elements provided to make something usable or understandable for people with disabilities or diverse access needs.
-
B.
featuresAbility
Indicates that one entity possesses, includes, or provides a particular ability or capability associated with another entity.
-
C.
hasAccessibilityVariation
Indicates that one entity differs from another in terms of accessibility features, conditions, or support.
-
D.
accessFeature
Indicates that one entity is permitted to use or interact with a specific feature or capability of another entity.
-
E.
capabilityType
Indicates the type or category of capability that an entity possesses or is associated with.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 28, 2026, 4:31 a.m.