Triple
T28617037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winsock 1.1 API |
E724294
|
entity |
| Predicate | requiresInitializationCall |
P70872
|
FINISHED |
| Object | WSAStartup |
—
|
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: WSAStartup | Statement: [Winsock 1.1 API, requiresInitializationCall, WSAStartup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresInitializationCall Context triple: [Winsock 1.1 API, requiresInitializationCall, WSAStartup]
-
A.
requiresInitialization
chosen
Indicates that one entity cannot be correctly used or executed until a specific setup or initialization process has been completed.
-
B.
requiresInitiationIn
Indicates that one entity must be initiated, started, or activated within the context, scope, or environment defined by another entity.
-
C.
canBeInitializedWith
Indicates that one entity is capable of being set up, created, or brought into a valid initial state using another entity as its input or configuration.
-
D.
hasInitial
Indicates that one entity possesses or is associated with the first letter or starting character of another entity’s name or value.
-
E.
usesInitSystem
Indicates that one entity employs or is based on a particular initialization (init) system to start and manage services or processes.
- 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_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: April 28, 2026, 4:32 a.m.