Triple

T12281229
Position Surface form Disambiguated ID Type / Status
Subject SanitizerCoverage E292719 entity
Predicate documentation P4310 FINISHED
Object LLVM SanitizerCoverage documentation E292719 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: LLVM SanitizerCoverage documentation | Statement: [SanitizerCoverage, documentation, LLVM SanitizerCoverage documentation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LLVM SanitizerCoverage documentation
Context triple: [SanitizerCoverage, documentation, LLVM SanitizerCoverage documentation]
  • A. SanitizerCoverage chosen
    SanitizerCoverage is an LLVM feature that instruments code to provide fine-grained coverage and runtime checks useful for fuzzing and bug detection.
  • B. lcov
    lcov is a graphical front-end and extension for the gcov code coverage tool that collects, processes, and visualizes test coverage data for C and C++ programs.
  • C. GNATcoverage
    GNATcoverage is an AdaCore tool that measures and reports structural code coverage for Ada and other languages, supporting rigorous verification and certification needs.
  • D. gcov
    gcov is a test coverage analysis tool used with GCC to measure and report how much of a program’s source code is executed during runtime.
  • E. AddressSanitizer
    AddressSanitizer is a fast memory error detector that instruments programs to find issues like buffer overflows and use-after-free bugs at runtime.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf2b09c81908a11581d33f65be0 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e70dec8819098199fbb54d888c1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.