Triple
T27736347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ReaderWriterLock |
E697537
|
entity |
| Predicate | supportsTimeouts |
P92766
|
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: [ReaderWriterLock, supportsTimeouts, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTimeouts Context triple: [ReaderWriterLock, supportsTimeouts, true]
-
A.
hasTimeouts
Indicates that an entity is associated with one or more timeout settings or behaviors that limit the duration of an operation or state.
-
B.
supportsTestDuration
Indicates that one entity is capable of handling, accommodating, or being compatible with a specified duration for a test or testing process.
-
C.
strategicTimeoutFor
Indicates that one entity initiates or designates a strategic timeout specifically for another entity (such as a team, player, or process).
-
D.
supportsTimingFunctions
chosen
Indicates that an entity is capable of handling or applying timing functions to control the pacing or progression of an associated process or behavior.
-
E.
timeoutDuration
Indicates the length of time that may elapse before an operation, request, or session is automatically terminated or considered failed.
- 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_69ffecdcbac4819093b725a7dbe0e61b |
completed | May 10, 2026, 2:26 a.m. |
| PD | Predicate disambiguation | batch_69ffec3633288190adbbd84e277708dc |
completed | May 10, 2026, 2:23 a.m. |
Created at: April 27, 2026, 3:12 p.m.