Triple

T11958287
Position Surface form Disambiguated ID Type / Status
Subject GNU libtool E284606 entity
Predicate operatingSystem P1593 FINISHED
Object GNU E10329 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 | Statement: [GNU libtool, operatingSystem, GNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU
Context triple: [GNU libtool, operatingSystem, GNU]
  • A. GNU Project chosen
    The GNU Project is a free software initiative that created many core components of the GNU/Linux operating system and pioneered the modern free software movement.
  • B. GNU/Linux
    GNU/Linux is a family of open-source operating systems that combine the GNU userland with the Linux kernel, widely used for servers, desktops, and embedded systems.
  • 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. Free Software Foundation
    The Free Software Foundation is a nonprofit organization that promotes computer users' freedom and defends the rights of all software users through advocacy, licensing, and development of free software.
  • E. GNU userland
    GNU userland is the collection of GNU software tools, utilities, and libraries that provide the core user-space environment on many Unix-like operating systems, including most Linux distributions.
  • 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.