Triple

T10197237
Position Surface form Disambiguated ID Type / Status
Subject Gerard J. Holzmann E238792 entity
Predicate developed P73 FINISHED
Object SPIN model checker E846885 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: SPIN model checker | Statement: [Gerard J. Holzmann, developed, SPIN model checker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPIN model checker
Context triple: [Gerard J. Holzmann, developed, SPIN model checker]
  • A. SPIN model checker chosen
    SPIN is a widely used open-source model checker designed for the formal verification of distributed software systems and communication protocols.
  • B. 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.
  • C. PRISM probabilistic model checker
    PRISM probabilistic model checker is a formal verification tool used to model, analyze, and verify systems that exhibit probabilistic behavior, such as randomized algorithms and communication or security protocols.
  • 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.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedcaf6688190938d8e56e29493eb completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d35512ab2c8190b2802c7bb22e7323 completed April 6, 2026, 6:39 a.m.
Created at: March 30, 2026, 9:13 p.m.