Triple
T27735436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CancellationTokenSource |
E697516
|
entity |
| Predicate | threadSafeFor |
P129619
|
FINISHED |
| Object | requesting cancellation |
—
|
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: requesting cancellation | Statement: [CancellationTokenSource, threadSafeFor, requesting cancellation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threadSafeFor Context triple: [CancellationTokenSource, threadSafeFor, requesting cancellation]
-
A.
threadSafe
chosen
Indicates that an operation or relationship can be safely executed concurrently by multiple threads without causing data races or inconsistent state.
-
B.
isThreadSafeValueType
Indicates that a value type can be safely accessed and modified by multiple threads concurrently without causing data races or inconsistent state.
-
C.
threadingRequirement
Indicates the conditions or constraints under which an operation must be executed with respect to threads (e.g., which thread or threading model is required).
-
D.
supportsMultithreading
Indicates that the subject is capable of executing multiple threads concurrently within the same process.
-
E.
synchronizedArea
Indicates that two or more areas are coordinated so that changes or activities in one are matched or kept consistent with those in the others.
- 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_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 3:12 p.m.