Triple

T11958140
Position Surface form Disambiguated ID Type / Status
Subject GAS E284603 entity
Predicate fullName P16 FINISHED
Object GNU Assembler E299165 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 Assembler | Statement: [GAS, fullName, GNU Assembler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU Assembler
Context triple: [GAS, fullName, GNU Assembler]
  • A. Assembler
    Assembler is a low-level programming language used on IBM mainframe systems like z/OS for writing highly efficient, hardware-near system and application code.
  • B. Assembly language
    Assembly language is a low-level programming language that uses human-readable mnemonics to represent machine instructions specific to a computer architecture.
  • C. GNU As chosen
    GNU As is the GNU Project’s assembler, used to translate assembly language code into machine code as part of the GNU toolchain.
  • D. Turbo Assembler (TASM)
    Turbo Assembler (TASM) is Borland's 16- and 32-bit x86 assembler, widely used in DOS-era development for its speed, macro capabilities, and tight integration with Borland's Turbo language tools.
  • E. GNU Binutils
    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.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459210d1c8190953cd01da3d2ad04 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.