Triple

T2792333
Position Surface form Disambiguated ID Type / Status
Subject GNU Binutils E61957 entity
Predicate contains P35 FINISHED
Object readelf E61957 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: readelf | Statement: [GNU Binutils, contains, readelf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: readelf
Context triple: [GNU Binutils, contains, readelf]
  • A. llvm-objdump
    llvm-objdump is an LLVM-based command-line tool for displaying information about object files, such as disassembly, headers, and symbols.
  • B. Universal 2 binary format
    Universal 2 binary format is Apple’s macOS application packaging format that combines both Intel and Apple silicon (ARM) executables into a single app bundle for seamless cross-architecture support.
  • C. GNU Binutils chosen
    GNU Binutils is a collection of binary tools, including assemblers, linkers, and related utilities, widely used in software development for compiling and manipulating executable programs and object files.
  • D. libunwind
    libunwind is a library that provides a standardized and efficient interface for stack unwinding, commonly used for exception handling and debugging in low-level and systems programming.
  • E. apk-tools
    apk-tools is the lightweight package management system used by Alpine Linux to install, upgrade, and manage software packages.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddd107ac81908eb1a6946834eee3 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65ebe788190859012e930918b05 completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:58 p.m.