Triple

T8288440
Position Surface form Disambiguated ID Type / Status
Subject Ws2_32 E193835 entity
Predicate languageBinding P11734 FINISHED
Object C API E37357 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: C API | Statement: [Ws2_32, languageBinding, C API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C API
Context triple: [Ws2_32, languageBinding, C API]
  • A. Win32 API chosen
    Win32 API is Microsoft's core programming interface for developing native desktop applications that interact directly with the Windows operating system.
  • B. CUDA Driver API
    The CUDA Driver API is a low-level programming interface from NVIDIA that gives developers fine-grained control over GPU resources and execution for CUDA applications.
  • C. FFI
    FFI is Norway’s primary defense research institute, conducting scientific and technological research to support the country’s armed forces and security policy.
  • D. FFI
    FFI refers to the French Forces of the Interior, the unified resistance movement that fought against German occupation and the Vichy regime in France during World War II.
  • E. NSAPI
    NSAPI (Netscape Server Application Programming Interface) is a server-side API that allows developers to extend and customize the functionality of Netscape web servers with custom modules and 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_69cd68898610819091a76f89cd2a6aa2 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.