Triple
T9761913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSException |
E236689
|
entity |
| Predicate | hasInitializer |
P37413
|
FINISHED |
| Object | -initWithName:reason:userInfo: |
—
|
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: -initWithName:reason:userInfo: | Statement: [NSException, hasInitializer, -initWithName:reason:userInfo:]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInitializer Context triple: [NSException, hasInitializer, -initWithName:reason:userInfo:]
-
A.
hasInitial
Indicates that one entity possesses or is associated with the first letter or starting character of another entity’s name or value.
-
B.
requiresInitialization
Indicates that one entity cannot be correctly used or executed until a specific setup or initialization process has been completed.
-
C.
usesInitSystem
Indicates that one entity employs or is based on a particular initialization (init) system to start and manage services or processes.
-
D.
hasConstructor
chosen
Indicates that an entity defines or is associated with a specific constructor used to create or initialize instances of it.
-
E.
hasInitiation
Indicates that one entity initiates, starts, or triggers an action, process, or relationship involving another entity.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda04c70108190a8ed09eb6f2a124e |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.