Triple

T11959684
Position Surface form Disambiguated ID Type / Status
Subject MSYS2 E284634 entity
Predicate includes P1393 FINISHED
Object GNU core utilities E61956 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 core utilities | Statement: [MSYS2, includes, GNU core utilities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU core utilities
Context triple: [MSYS2, includes, GNU core utilities]
  • A. GNU Core Utilities chosen
    GNU Core Utilities is a collection of essential command-line tools for Unix-like operating systems, providing fundamental file, text, and shell utilities widely used in GNU/Linux systems.
  • B. 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.
  • C. BusyBox
    BusyBox is a compact software suite that combines many common Unix utilities into a single executable, widely used in lightweight and embedded Linux systems.
  • D. GNU Grep
    GNU Grep is the GNU Project’s free, open-source implementation of the grep command-line utility used for fast text searching and pattern matching in files.
  • E. Unix
    Unix is a powerful, multiuser, multitasking operating system originally developed in the 1970s that has profoundly influenced modern computing and inspired many derivative systems like Linux and macOS.
  • 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_69d9036941948190b150369094551731 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4592fa9a48190a0450e3d0c57c4d3 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.