Triple
T33204099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTKViewDelegate |
E849978
|
entity |
| Predicate | usedWithClass |
P108592
|
FINISHED |
| Object | MTKView |
—
|
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: MTKView | Statement: [MTKViewDelegate, usedWithClass, MTKView]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedWithClass Context triple: [MTKViewDelegate, usedWithClass, MTKView]
-
A.
usedByClass
chosen
Indicates that something (such as a resource, method, or component) is utilized or depended upon by a particular class.
-
B.
usesClass
Indicates that one entity makes use of, depends on, or is implemented using a particular class in its structure or behavior.
-
C.
usedWith
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
D.
usedWithStyle
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
-
E.
usedWithType
Indicates that something is typically or appropriately used together with items of a specified type.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.