Triple
T28617039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winsock 1.1 API |
E724294
|
entity |
| Predicate | providesErrorReporting |
P164529
|
FINISHED |
| Object | WSAGetLastError |
—
|
NE NERFINISHED |
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: WSAGetLastError | Statement: [Winsock 1.1 API, providesErrorReporting, WSAGetLastError]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesErrorReporting Context triple: [Winsock 1.1 API, providesErrorReporting, WSAGetLastError]
-
A.
errorReporting
chosen
Indicates that one entity reports, logs, or communicates errors or faults related to another entity or process.
-
B.
hasErrorLogging
Indicates that an entity is equipped with or supports functionality for recording and tracking errors or failures.
-
C.
doesNotProvideExceptionFor
Indicates that one party or rule fails to grant an exemption, special case, or exclusion to another party or situation.
-
D.
usesReportingFramework
Indicates that one entity adopts or applies a particular reporting framework as the basis for how it structures, prepares, or presents its reports.
-
E.
usesErrorProtection
Indicates that one entity applies mechanisms or techniques to detect and/or correct errors in relation to another entity or process.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 28, 2026, 4:32 a.m.