Triple

T11958655
Position Surface form Disambiguated ID Type / Status
Subject GNATmake E284614 entity
Predicate partOf P40 FINISHED
Object GNAT 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 | Statement: [GNATmake, partOf, GNAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNAT
Context triple: [GNATmake, partOf, GNAT]
  • A. GNAT Pro Enterprise
    GNAT Pro Enterprise is AdaCore’s professional-grade Ada and SPARK development environment designed for building high-assurance, safety- and mission-critical software systems.
  • B. GNAT Studio
    GNAT Studio is an integrated development environment (IDE) by AdaCore designed primarily for developing, debugging, and maintaining Ada and mixed-language software systems.
  • C. gnat chosen
    GNAT is a free, open-source Ada compiler and toolchain that is part of the GNU Compiler Collection (GCC).
  • D. AdaCore
    AdaCore is a software company specializing in high-integrity, safety- and security-critical development tools and compilers for the Ada programming language.
  • E. 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.
  • 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_69f61e391d7c8190a414cb3306bfe139 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:45 p.m.