Triple

T12281211
Position Surface form Disambiguated ID Type / Status
Subject SanitizerCoverage E292719 entity
Predicate commonlyUsedWith P3100 FINISHED
Object UndefinedBehaviorSanitizer E973485 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: UndefinedBehaviorSanitizer | Statement: [SanitizerCoverage, commonlyUsedWith, UndefinedBehaviorSanitizer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UndefinedBehaviorSanitizer
Context triple: [SanitizerCoverage, commonlyUsedWith, UndefinedBehaviorSanitizer]
  • A. UndefinedBehaviorSanitizer chosen
    UndefinedBehaviorSanitizer is a runtime instrumentation tool that detects and reports undefined behavior in C and C++ programs to help developers find hard-to-debug errors.
  • B. AddressSanitizer
    AddressSanitizer is a fast memory error detector that instruments programs to find issues like buffer overflows and use-after-free bugs at runtime.
  • C. MemorySanitizer
    MemorySanitizer is an LLVM-based dynamic analysis tool that detects uses of uninitialized memory in programs at runtime.
  • D. ThreadSanitizer
    ThreadSanitizer is a dynamic analysis tool that detects data races and threading errors in concurrent programs, commonly used within the LLVM/Clang toolchain.
  • E. LeakSanitizer
    LeakSanitizer is a memory error detection tool that identifies and reports memory leaks in programs at runtime, commonly used with Clang and LLVM.
  • 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_69f63eec11688190a317f9e692b23ca5 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:52 p.m.