Triple
T27735983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ThreadAbortException |
E697528
|
entity |
| Predicate | isUncommonIn |
P19183
|
FINISHED |
| Object | asynchronous programming with async/await |
—
|
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: asynchronous programming with async/await | Statement: [ThreadAbortException, isUncommonIn, asynchronous programming with async/await]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUncommonIn Context triple: [ThreadAbortException, isUncommonIn, asynchronous programming with async/await]
-
A.
isLessCommonThan
chosen
Indicates that one item occurs, appears, or is observed less frequently than another item.
-
B.
moreCommonIn
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
-
C.
isLessCommonSince
Indicates that the frequency or prevalence of one entity has decreased relative to another entity or to its own past occurrence from a specified point in time.
-
D.
commonness
Indicates how frequently or typically something occurs or is found relative to other things.
-
E.
isRareTypeOf
Indicates that one entity is an uncommon or infrequently occurring subtype or category of 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f636a088b8819081e34d416b28cdac |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 3:12 p.m.