Triple

T11958596
Position Surface form Disambiguated ID Type / Status
Subject GNU NYU Ada Translator E284612 entity
Predicate hasVariant P455 FINISHED
Object GNAT Community Edition E59598 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: GNAT Community Edition | Statement: [GNU NYU Ada Translator, hasVariant, GNAT Community Edition]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNAT Community Edition
Context triple: [GNU NYU Ada Translator, hasVariant, GNAT Community Edition]
  • A. GNAT Pro Assurance
    GNAT Pro Assurance is a high-reliability, safety- and security-focused Ada development and verification tool suite from AdaCore used for long-term, certifiable software projects in critical domains.
  • B. AdaCore
    AdaCore is a software company specializing in high-integrity, safety- and security-critical development tools and compilers for the Ada programming language.
  • C. gnat chosen
    GNAT is a free, open-source Ada compiler and toolchain that is part of the GNU Compiler Collection (GCC).
  • D. GNATmake
    GNATmake is the GNAT Ada compiler’s build tool that automatically manages multi-file project compilation and dependency tracking.
  • E. GNATtest
    GNATtest is an AdaCore testing tool designed to automate the generation and execution of unit tests for Ada software.
  • 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_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48a83c2448190bb40c199afef2ec2 completed May 1, 2026, 11:12 a.m.
Created at: April 8, 2026, 9:45 p.m.