Triple

T17872501
Position Surface form Disambiguated ID Type / Status
Subject Coq E446868 entity
Predicate hasFeature P182 FINISHED
Object Gallina specification language NE NERFINISHED

How this triple was built (3 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: Gallina specification language | Statement: [Coq, hasFeature, Gallina specification language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gallina specification language
Context triple: [Coq, hasFeature, Gallina specification language]
  • A. TLA+
    TLA+ is a formal specification language developed by Leslie Lamport for modeling and verifying concurrent and distributed systems using mathematical logic.
  • B. The Cecil Language: Specification and Rationale
    The Cecil Language: Specification and Rationale is a technical document by Craig Chambers that introduces and explains the design, features, and motivations behind the Cecil object-oriented programming language.
  • C. Alur language
    The Alur language is a Western Nilotic language spoken primarily by the Alur people of northwestern Uganda and northeastern Democratic Republic of the Congo.
  • D. Domain-Specific Languages
    Domain-Specific Languages is a technical book by Martin Fowler that explores the design, implementation, and practical use of specialized programming languages tailored to specific problem domains.
  • E. Dafny programming language
    Dafny is a verification-aware programming language and toolchain designed to support formal specification, automated proof of correctness, and executable code generation for imperative and functional programs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gallina specification language
Target entity description: Gallina specification language is the functional, dependently typed programming and specification language used within the Coq proof assistant to define mathematical objects and express formal proofs.
  • A. TLA+
    TLA+ is a formal specification language developed by Leslie Lamport for modeling and verifying concurrent and distributed systems using mathematical logic.
  • B. The Cecil Language: Specification and Rationale
    The Cecil Language: Specification and Rationale is a technical document by Craig Chambers that introduces and explains the design, features, and motivations behind the Cecil object-oriented programming language.
  • C. Alur language
    The Alur language is a Western Nilotic language spoken primarily by the Alur people of northwestern Uganda and northeastern Democratic Republic of the Congo.
  • D. Domain-Specific Languages
    Domain-Specific Languages is a technical book by Martin Fowler that explores the design, implementation, and practical use of specialized programming languages tailored to specific problem domains.
  • E. Dafny programming language
    Dafny is a verification-aware programming language and toolchain designed to support formal specification, automated proof of correctness, and executable code generation for imperative and functional programs.
  • F. None of above. chosen

Provenance (2 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa3cd248190a13a8209ba44fd3b completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.