Triple

T12514575
Position Surface form Disambiguated ID Type / Status
Subject paste E299163 entity
Predicate partOf P40 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: [paste, partOf, GNU Core Utilities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU Core Utilities
Context triple: [paste, partOf, 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 Inetutils
    GNU Inetutils is a collection of basic networking utilities for the GNU operating system, providing free software replacements for common internet and network programs.
  • E. 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.
  • 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_69f67c6a590881908b0fe779f3698ea2 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:57 p.m.