Triple

T8288383
Position Surface form Disambiguated ID Type / Status
Subject Ws2_32 E193835 entity
Predicate shortName P43 FINISHED
Object Winsock 2 E724289 NE 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: Winsock 2 | Statement: [Ws2_32, shortName, Winsock 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winsock 2
Context triple: [Ws2_32, shortName, Winsock 2]
  • A. Windows Sockets 2 library chosen
    The Windows Sockets 2 library is a core Microsoft Windows API component that provides standardized network communication functions for TCP/IP and other protocols used by Windows applications.
  • B. Winsock 1.1 API
    Winsock 1.1 API is an early Windows networking interface that provides standardized socket-based communication capabilities for TCP/IP and other network protocols.
  • C. Win32 API
    Win32 API is Microsoft's core programming interface for developing native desktop applications that interact directly with the Windows operating system.
  • D. WinPcap
    WinPcap is a Windows packet capture and network monitoring library that provides low-level network access for tools like Wireshark.
  • E. SAL (Socket Abstraction Layer)
    SAL (Socket Abstraction Layer) is RT-Thread’s unified socket interface layer that abstracts underlying network protocols and drivers to provide a consistent, POSIX-like networking API for applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c98e15c8190ac2a0b2a5ff834c9 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6d38f3c8190a7939e4fd9aff9b6 completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 5:52 p.m.