Triple

T11958618
Position Surface form Disambiguated ID Type / Status
Subject AdaCore E284613 entity
Predicate product P490 FINISHED
Object GNATtest
GNATtest is an AdaCore testing tool designed to automate the generation and execution of unit tests for Ada software.
E956204 NE FINISHED

How this triple was built (4 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: GNATtest | Statement: [AdaCore, product, GNATtest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNATtest
Context triple: [AdaCore, product, GNATtest]
  • A. gnat
    GNAT is a free, open-source Ada compiler and toolchain that is part of the GNU Compiler Collection (GCC).
  • B. GNATmake
    GNATmake is the GNAT Ada compiler’s build tool that automatically manages multi-file project compilation and dependency tracking.
  • C. AdaCore
    AdaCore is a software company specializing in high-integrity, safety- and security-critical development tools and compilers for the Ada programming language.
  • D. GNU NYU Ada Translator
    GNU NYU Ada Translator is a free, open-source Ada compiler developed as part of the GNU Compiler Collection (GCC) and originally created at New York University.
  • E. ObjectAda
    ObjectAda is a commercial, object-oriented Ada development environment and compiler suite used for building and maintaining Ada applications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GNATtest
Triple: [AdaCore, product, GNATtest]
Generated description
GNATtest is an AdaCore testing tool designed to automate the generation and execution of unit tests for Ada software.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GNATtest
Target entity description: GNATtest is an AdaCore testing tool designed to automate the generation and execution of unit tests for Ada software.
  • A. gnat
    GNAT is a free, open-source Ada compiler and toolchain that is part of the GNU Compiler Collection (GCC).
  • B. GNATmake
    GNATmake is the GNAT Ada compiler’s build tool that automatically manages multi-file project compilation and dependency tracking.
  • C. AdaCore
    AdaCore is a software company specializing in high-integrity, safety- and security-critical development tools and compilers for the Ada programming language.
  • D. GNU NYU Ada Translator
    GNU NYU Ada Translator is a free, open-source Ada compiler developed as part of the GNU Compiler Collection (GCC) and originally created at New York University.
  • E. ObjectAda
    ObjectAda is a commercial, object-oriented Ada development environment and compiler suite used for building and maintaining Ada applications.
  • F. None of above. chosen

Provenance (5 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_69f459210d1c8190953cd01da3d2ad04 completed May 1, 2026, 7:41 a.m.
NEDg Description generation batch_69f4645ef63881909b46937f73d637a3 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465be4db08190882898a17d077019 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:45 p.m.