Triple

T11090199
Position Surface form Disambiguated ID Type / Status
Subject Satisfiability Modulo Theories E262229 entity
Predicate relatedStandard P37 FINISHED
Object SMT-LIB 2.0 E824099 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: SMT-LIB 2.0 | Statement: [Satisfiability Modulo Theories, relatedStandard, SMT-LIB 2.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMT-LIB 2.0
Context triple: [Satisfiability Modulo Theories, relatedStandard, SMT-LIB 2.0]
  • A. SMT-LIB2 chosen
    SMT-LIB2 is a standardized input language and benchmark format for Satisfiability Modulo Theories (SMT) solvers, enabling consistent specification and exchange of logical problems across different tools.
  • B. Satisfiability Modulo Theories (SMT)
    Satisfiability Modulo Theories (SMT) is a framework in computer science and mathematical logic for deciding the satisfiability of logical formulas with respect to background theories such as arithmetic, bit-vectors, arrays, and data types, widely used in verification, synthesis, and automated reasoning.
  • C. SMTInterpol
    SMTInterpol is an SMT solver focused on generating interpolants and solving satisfiability modulo theories problems, particularly over linear arithmetic and related theories.
  • D. Z3: An Efficient SMT Solver
    Z3: An Efficient SMT Solver is a high-performance satisfiability modulo theories (SMT) solver widely used in program verification, formal methods, and automated reasoning.
  • E. Z3 SMT solver
    Z3 SMT solver is a high-performance Satisfiability Modulo Theories (SMT) solver developed at Microsoft Research, widely used in program verification, formal methods, and automated reasoning.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799e96ca08190838c8a04d1eb2a16 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441bb14d08190ac01bf3daa34ae43 completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:27 p.m.