Triple

T15860702
Position Surface form Disambiguated ID Type / Status
Subject CTL* E384578 entity
Predicate fullName P16 FINISHED
Object Computation Tree Logic * E384578 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: Computation Tree Logic * | Statement: [CTL*, fullName, Computation Tree Logic *]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Computation Tree Logic *
Context triple: [CTL*, fullName, Computation Tree Logic *]
  • A. branching-time temporal logic CTL* chosen
    Branching-time temporal logic CTL* is a highly expressive formalism in computer science used to specify and reason about the behavior of concurrent and reactive systems over branching time structures.
  • B. The Temporal Logic of Programs
    The Temporal Logic of Programs is a landmark 1977 paper by Amir Pnueli that introduced temporal logic as a formal framework for specifying and verifying the behavior of concurrent and reactive computer programs.
  • C. linear temporal logic
    Linear temporal logic is a modal temporal logic used in computer science and formal methods to specify and reason about the behavior of systems over linear sequences of time, using operators that describe how properties evolve in the future.
  • D. Compositional model checking
    Compositional model checking is a formal verification technique that proves system correctness by analyzing components separately and then combining the results, enabling scalable verification of complex systems.
  • E. mu-calculus
    The mu-calculus is a powerful modal logic with fixed-point operators used to express and verify properties of recursive and infinite-state systems in computer science.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555b952481909246f5ebf53df2a9 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14da7ac8190bbef49a1602a76fe completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.