Triple
T28616096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GetLastError |
E724275
|
entity |
| Predicate | errorCodesDefinedIn |
P38883
|
FINISHED |
| Object | WinError.h |
—
|
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: WinError.h | Statement: [GetLastError, errorCodesDefinedIn, WinError.h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorCodesDefinedIn Context triple: [GetLastError, errorCodesDefinedIn, WinError.h]
-
A.
definesErrorCode
chosen
Indicates that one entity specifies or assigns the error code used to represent a particular error condition in another entity.
-
B.
errorCodeSource
Indicates the origin or component responsible for generating a particular error code.
-
C.
errorType
Indicates the specific category or kind of error associated with an event, action, or entity.
-
D.
errorDescription
Indicates a textual explanation that describes the nature or details of an error that has occurred.
-
E.
errorStatusSemantics
Indicates how the meaning or interpretation of an error status value should be understood within a given context or system.
- 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_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 4:31 a.m.