Triple

T19111849
Position Surface form Disambiguated ID Type / Status
Subject PlusCal E467808 entity
Predicate verificationVia P4965 FINISHED
Object TLC model checker NE NERFINISHED

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: TLC model checker | Statement: [PlusCal, verificationVia, TLC model checker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TLC model checker
Context triple: [PlusCal, verificationVia, TLC model checker]
  • A. IC3 model checking algorithm
    The IC3 model checking algorithm is a SAT-based formal verification technique that incrementally constructs inductive invariants to efficiently prove or refute safety properties of hardware and software systems.
  • B. SPIN model checker
    SPIN is a widely used open-source model checker designed for the formal verification of distributed software systems and communication protocols.
  • C. Model Checking (book)
    "Model Checking" is a foundational textbook that systematically presents the theory and practice of using automated verification techniques to prove correctness properties of hardware and software systems.
  • D. Symbolic Model Checking
    Symbolic Model Checking is a formal verification technique that uses symbolic representations, such as binary decision diagrams, to efficiently verify properties of hardware and software systems with very large state spaces.
  • E. FDR model checker
    FDR model checker is a refinement-based verification tool used to analyze and prove properties of systems specified in the Communicating Sequential Processes (CSP) formalism.
  • 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: TLC model checker
Target entity description: The TLC model checker is a tool for exhaustively verifying TLA+ specifications by exploring all possible system behaviors to detect errors such as deadlocks and invariant violations.
  • A. IC3 model checking algorithm
    The IC3 model checking algorithm is a SAT-based formal verification technique that incrementally constructs inductive invariants to efficiently prove or refute safety properties of hardware and software systems.
  • B. SPIN model checker
    SPIN is a widely used open-source model checker designed for the formal verification of distributed software systems and communication protocols.
  • C. Model Checking (book)
    "Model Checking" is a foundational textbook that systematically presents the theory and practice of using automated verification techniques to prove correctness properties of hardware and software systems.
  • D. Symbolic Model Checking
    Symbolic Model Checking is a formal verification technique that uses symbolic representations, such as binary decision diagrams, to efficiently verify properties of hardware and software systems with very large state spaces.
  • E. FDR model checker
    FDR model checker is a refinement-based verification tool used to analyze and prove properties of systems specified in the Communicating Sequential Processes (CSP) formalism.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: verificationVia
Context triple: [PlusCal, verificationVia, TLC model checker]
  • A. verificationTarget
    Indicates that one entity is the object, subject, or content that another entity is intended to verify or validate.
  • B. verificationStatus
    Indicates whether an entity, claim, or item has been checked and confirmed as authentic, accurate, or compliant according to a defined verification process.
  • C. confirmationMethod chosen
    Indicates the means or process by which something is verified, validated, or confirmed as true or accepted.
  • D. verificationSystem
    Indicates that an entity functions as or is associated with a system responsible for checking, validating, or confirming the correctness or authenticity of something.
  • E. confirmedBy
    Indicates that one entity validates, approves, or verifies the truth, accuracy, or occurrence of another entity or event.
  • F. None of above.

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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e394969c81909d09b2300ea0e041 completed April 20, 2026, 8:28 a.m.
PD Predicate disambiguation batch_69e4b9ac41848190afd0f33b42cebe99 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:04 p.m.