Triple
T32122895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Set (Swift) |
E820426
|
entity |
| Predicate | defaultInitializer |
P138322
|
FINISHED |
| Object | init() |
—
|
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: init() | Statement: [Set (Swift), defaultInitializer, init()]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultInitializer Context triple: [Set (Swift), defaultInitializer, init()]
-
A.
initializer
chosen
Indicates the entity that sets up or prepares another entity, process, or structure for its initial state or first use.
-
B.
defaultValue
Indicates that one entity serves as the pre-assigned or fallback value automatically used for another entity when no explicit value is provided.
-
C.
defaultRegistry
Indicates that one entity serves as the primary or standard registry used by another entity in the absence of a specifically chosen alternative.
-
D.
defaultSolver
Indicates that one entity functions as the standard or primary solver used by another entity or within a given context.
-
E.
defaultPosition
Indicates the standard or initial spatial arrangement or pose that an entity assumes in the absence of other specified positions.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, 12:28 a.m.