Triple
T11279166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPad Pro (12.9-inch, 4th generation) |
E267014
|
entity |
| Predicate | supportsStylus |
P203
|
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: [iPad Pro (12.9-inch, 4th generation), supportsStylus, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsStylus Context triple: [iPad Pro (12.9-inch, 4th generation), supportsStylus, yes]
-
A.
compatibleStylus
Indicates that one object can function properly as a stylus with another device or surface.
-
B.
hasStylus
Indicates that an entity possesses or is equipped with a stylus as an accessory or tool.
-
C.
supportsStyleDefinition
Indicates that one entity is capable of handling, recognizing, or working with a particular style definition associated with another entity.
-
D.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
E.
supportsAt
Indicates that one entity provides assistance, endorsement, or backing to another entity in a specific context, location, or point in time.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e969b3448190940e2bd499d2d7de |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.