Triple
T27735895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LockRecursionException |
E697526
|
entity |
| Predicate | canBeCaughtBy |
P66395
|
FINISHED |
| Object | catch (LockRecursionException) |
—
|
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: catch (LockRecursionException) | Statement: [LockRecursionException, canBeCaughtBy, catch (LockRecursionException)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeCaughtBy Context triple: [LockRecursionException, canBeCaughtBy, catch (LockRecursionException)]
-
A.
canBeCaughtWith
chosen
Indicates that one entity is capable of being captured, obtained, or discovered using another specified entity or method.
-
B.
isCaughtFor
Indicates that one entity is apprehended, captured, or held accountable because of an action, event, or offense associated with another entity.
-
C.
canFall
Indicates that an entity has the potential or ability to fall or drop from a higher position to a lower one.
-
D.
hasCatchFeature
Indicates that one entity possesses or is characterized by a specific catch-related feature or mechanism.
-
E.
cannotBeGraspedAs
Indicates that one entity is not capable of being mentally or conceptually understood in the manner or terms defined by another entity or perspective.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 27, 2026, 3:12 p.m.