Triple

T12514821
Position Surface form Disambiguated ID Type / Status
Subject nm E299167 entity
Predicate hasImplementation P3697 FINISHED
Object GNU nm 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: GNU nm | Statement: [nm, hasImplementation, GNU nm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU nm
Context triple: [nm, hasImplementation, GNU nm]
  • A. 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.
  • B. GNU objdump
    GNU objdump is a command-line utility from the GNU Binutils suite used to display detailed information about object files and executables, including disassembly of machine code.
  • C. GNU As
    GNU As is the GNU Project’s assembler, used to translate assembly language code into machine code as part of the GNU toolchain.
  • D. ranlib
    ranlib is a Unix command-line utility that generates or updates an index (symbol table) for archive libraries to speed up linking.
  • E. GNU Findutils
    GNU Findutils is a collection of essential GNU utilities, including the widely used `find`, `locate`, `updatedb`, and `xargs` tools, for searching and managing files on Unix-like systems.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541e752c8190bf12d2b5a37b53df completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.