Triple

T12514266
Position Surface form Disambiguated ID Type / Status
Subject dietlibc E299156 entity
Predicate contrastsWith P278 FINISHED
Object glibc E61955 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: glibc | Statement: [dietlibc, contrastsWith, glibc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: glibc
Context triple: [dietlibc, contrastsWith, glibc]
  • A. GNU C Library chosen
    The GNU C Library (glibc) is the GNU Project’s core implementation of the standard C library, providing fundamental system call wrappers and APIs used by most GNU/Linux and Unix-like systems.
  • B. 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.
  • C. musl
    musl is a lightweight, fast, and standards-conformant implementation of the C standard library commonly used in minimalist and security-focused Linux distributions.
  • D. uClibc
    uClibc is a compact C standard library implementation designed for embedded Linux systems and other resource-constrained environments.
  • E. 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.
  • 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_69d6ada4cd388190ae3bbf83ff87057a 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_69f6718cd6288190ad080f469f334caf completed May 2, 2026, 9:50 p.m.
Created at: April 8, 2026, 9:57 p.m.