Triple

T10826287
Position Surface form Disambiguated ID Type / Status
Subject C90 E255504 entity
Predicate includesLibraryHeader P95944 FINISHED
Object stdlib.h E61955 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: stdlib.h | Statement: [C90, includesLibraryHeader, stdlib.h]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: stdlib.h
Context triple: [C90, includesLibraryHeader, stdlib.h]
  • A. ISO/IEC 9899
    ISO/IEC 9899 is the international standard that defines the C programming language’s syntax, semantics, and library.
  • B. GNU C Library chosen
    The GNU C Library (glibc) is the GNU Project’s core implementation of the standard C library, providing fundamental system call wrappers and APIs used by most GNU/Linux and Unix-like systems.
  • C. C++ standard library
    The C++ standard library is a collection of ready-made classes and functions that provide core utilities such as containers, algorithms, input/output, and threading support for C++ programs.
  • D. STL
    STL is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • E. STL
    STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d1c24881909f56d56207cccbef completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de858672d8819094baf4fe98b8dea4 completed April 14, 2026, 6:20 p.m.
Created at: April 8, 2026, 9:19 p.m.