Triple

T12516109
Position Surface form Disambiguated ID Type / Status
Subject Imake E299194 entity
Predicate replacedBy P101 FINISHED
Object GNU Autoconf E61961 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 Autoconf | Statement: [Imake, replacedBy, GNU Autoconf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU Autoconf
Context triple: [Imake, replacedBy, GNU Autoconf]
  • A. GNU Autoconf chosen
    GNU Autoconf is a build configuration tool that automatically generates portable shell scripts to configure software packages for compilation on diverse Unix-like systems.
  • 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 Automake
    GNU Automake is a build system tool that automatically generates portable Makefiles for software packages, following GNU coding and packaging standards.
  • D. GNU libtool
    GNU libtool is a generic library support script that simplifies the process of creating and using shared and static libraries in a portable way across different Unix-like systems.
  • E. GNU Gnulib
    GNU Gnulib is a portability and utility library for the GNU system that provides reusable code modules to help software run consistently across different Unix-like platforms.
  • 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_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.