Triple
T27735495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ManualResetEvent |
E697517
|
entity |
| Predicate | canReleaseMultipleThreads |
P163153
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ManualResetEvent, canReleaseMultipleThreads, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canReleaseMultipleThreads Context triple: [ManualResetEvent, canReleaseMultipleThreads, true]
-
A.
hasMultipleHoldersSimultaneously
Indicates that a given item, role, or resource is concurrently possessed, controlled, or occupied by more than one holder at the same time.
-
B.
mayBeHeldConcurrentlyWith
Indicates that one event, state, or condition is allowed to occur or be in effect at the same time as another without conflict or violation of constraints.
-
C.
supportsMultithreading
Indicates that the subject is capable of executing multiple threads concurrently within the same process.
-
D.
hasParallelLocks
Indicates that two or more locking mechanisms operate in parallel, such that they can be engaged or used simultaneously rather than sequentially.
-
E.
hasConcurrency
Indicates that two or more processes, tasks, or operations can occur or be executed simultaneously or with overlapping time intervals.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 3:12 p.m.