Triple
T32122952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSMutableCopying |
E820427
|
entity |
| Predicate | usedInLanguageFeature |
P195456
|
FINISHED |
| Object | id<NSMutableCopying> protocol-qualified types |
—
|
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: id<NSMutableCopying> protocol-qualified types | Statement: [NSMutableCopying, usedInLanguageFeature, id<NSMutableCopying> protocol-qualified types]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInLanguageFeature Context triple: [NSMutableCopying, usedInLanguageFeature, id<NSMutableCopying> protocol-qualified types]
-
A.
usedInLanguage
Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
-
B.
usedInSourceLanguageScript
Indicates that a particular script is employed for writing in a given source language.
-
C.
usedInType
Indicates that something serves as a component, element, or example within a particular type or category.
-
D.
usedInPattern
Indicates that something serves as a component or element within a larger pattern or structured arrangement.
-
E.
usedInMethod
Indicates that something (such as a component, variable, or resource) is utilized or referenced within the execution or implementation of a particular method.
- F. None of above. chosen
Provenance (4 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69fdd2bda90881909aa229194d014ba7 |
completed | May 8, 2026, 12:10 p.m. |
Created at: May 1, 2026, 12:28 a.m.