Triple

T1719464
Position Surface form Disambiguated ID Type / Status
Subject Win32 API E37357 entity
Predicate component P35 FINISHED
Object Ws2_32
Ws2_32 is the Windows Sockets 2 (Winsock) library that provides networking and socket communication functionality for Windows applications.
 E193835 NE FINISHED

How this triple was built (4 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 | Statement: [Win32 API, component, Ws2_32]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ws2_32
Context triple: [Win32 API, component, Ws2_32]
  • A. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • B. WSH
    WSH is the standard sports abbreviation for the Washington Commanders, the National Football League team based in the Washington, D.C. area.
  • C. WSH
    WSH is the stock ticker symbol for Willis Group Holdings, a global insurance brokerage and risk management firm.
  • D. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • E. WSF
    WSF is the vehicle registration code used on license plates for the Burgenlandkreis district in the German state of Saxony-Anhalt.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ws2_32
Triple: [Win32 API, component, Ws2_32]
Generated description
Ws2_32 is the Windows Sockets 2 (Winsock) library that provides networking and socket communication functionality for Windows applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ws2_32
Target entity description: Ws2_32 is the Windows Sockets 2 (Winsock) library that provides networking and socket communication functionality for Windows applications.
  • A. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • B. WSH
    WSH is the standard sports abbreviation for the Washington Commanders, the National Football League team based in the Washington, D.C. area.
  • C. WSH
    WSH is the stock ticker symbol for Willis Group Holdings, a global insurance brokerage and risk management firm.
  • D. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • E. WSF
    WSF is the vehicle registration code used on license plates for the Burgenlandkreis district in the German state of Saxony-Anhalt.
  • F. None of above. chosen

Provenance (5 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa633934a4819083f2929da03453a8 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae98cd88190af4dc46679b3d93f completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957bd63c819099a508ca5c4102cc completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b18f9c8190a9c5ed80b5ed0195 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.