Triple
T28771704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WSAEventSelect |
E726427
|
entity |
| Predicate | libraryLink |
P82553
|
FINISHED |
| Object | Ws2_32.lib |
—
|
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: Ws2_32.lib | Statement: [WSAEventSelect, libraryLink, Ws2_32.lib]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: libraryLink Context triple: [WSAEventSelect, libraryLink, Ws2_32.lib]
-
A.
libraryFile
chosen
Indicates that one entity is a file that is part of, stored in, or managed by a particular library.
-
B.
relatedLibrary
Indicates that one library has a meaningful connection or association with another library, such as dependency, compatibility, or functional similarity.
-
C.
libraryUsed
Indicates that one entity makes use of another entity as a software or code library to provide functionality or services.
-
D.
libraryCatalog
Indicates a relationship where a library’s catalog system organizes, indexes, and provides access information for the items held in the library’s collection.
-
E.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 6:16 a.m.