Triple

T8247261
Position Surface form Disambiguated ID Type / Status
Subject Devuan E192878 entity
Predicate includes P1393 FINISHED
Object GNU userland E198698 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 userland | Statement: [Devuan, includes, GNU userland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU userland
Context triple: [Devuan, includes, GNU userland]
  • A. GNU userland chosen
    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.
  • B. GNU Project
    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.
  • C. 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.
  • D. GNU Hurd
    GNU Hurd is the GNU Project’s microkernel-based operating system server collection intended as a free Unix-like replacement, built to run on top of the Mach microkernel.
  • E. 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.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7875318c819095f971ba513c54fd completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3530ca148190a28761622d0cf663 completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:48 p.m.