Triple

T12516221
Position Surface form Disambiguated ID Type / Status
Subject M4 E299196 entity
Predicate relatedTo P37 FINISHED
Object GNU Automake E62311 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 Automake | Statement: [M4, relatedTo, GNU Automake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU Automake
Context triple: [M4, relatedTo, GNU Automake]
  • A. GNU Automake chosen
    GNU Automake is a build system tool that automatically generates portable Makefiles for software packages, following GNU coding and packaging standards.
  • B. GNU Autotools
    GNU Autotools is a suite of build and configuration tools used primarily in Unix-like environments to produce portable, cross-platform software packages.
  • C. GNU Autoconf
    GNU Autoconf is a build configuration tool that automatically generates portable shell scripts to configure software packages for compilation on diverse Unix-like systems.
  • D. GNU Make
    GNU Make is a widely used build automation tool that controls the compilation and linking of programs by interpreting makefiles to manage dependencies and execute commands efficiently.
  • E. Autoreconf
    Autoreconf is a GNU Autotools utility that automatically regenerates a project's configuration scripts and related build files by invoking the appropriate autotools in the correct order.
  • 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_69d9541f80148190976d1d912fe155d0 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eac74608190a6f1941ed5a05212 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:57 p.m.