Triple
T27736111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ParameterizedThreadStart |
E697531
|
entity |
| Predicate | invocationModel |
P39337
|
FINISHED |
| Object | synchronous invocation on created thread |
—
|
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: synchronous invocation on created thread | Statement: [ParameterizedThreadStart, invocationModel, synchronous invocation on created thread]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: invocationModel Context triple: [ParameterizedThreadStart, invocationModel, synchronous invocation on created thread]
-
A.
invocationType
chosen
Indicates the manner or mode in which an action, function, or process is called, triggered, or executed.
-
B.
userInteractionModel
Indicates how a user is expected to interact with a system, defining the style, rules, or pattern of those interactions.
-
C.
executionModel
Indicates how a process, task, or operation is carried out or implemented, specifying the underlying method, strategy, or mechanism of its execution.
-
D.
invocationOf
Indicates that one entity is the act, event, or instance of calling upon, summoning, or appealing to another entity (such as a function, service, or authority) to perform its role or be brought into effect.
-
E.
modelingClient
Indicates that one entity serves as a client that is being modeled or represented by another entity in a modeling context.
- 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.