Triple
T32150162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSInvalidArgumentException |
E821135
|
entity |
| Predicate | superclassType |
P176185
|
FINISHED |
| Object | NSException |
—
|
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: NSException | Statement: [NSInvalidArgumentException, superclassType, NSException]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: superclassType Context triple: [NSInvalidArgumentException, superclassType, NSException]
-
A.
isSuperclassOf
chosen
Indicates that one class is a more general class from which another class directly or indirectly inherits.
-
B.
topClassOf
Indicates that one class is the most general or highest-level superclass from which another class (or set of classes) ultimately derives.
-
C.
predecessorClass
Indicates that one class precedes another in an ordered sequence or hierarchy, typically representing an earlier version or prior stage of that class.
-
D.
subclassOf
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
-
E.
successorClass
Indicates that one class directly follows or replaces another class in a sequence or hierarchy.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 1, 2026, 12:31 a.m.