Triple

T10846456
Position Surface form Disambiguated ID Type / Status
Subject Proceedings of the IEEE Symposium on Logic in Computer Science E256021 entity
Predicate field P3 FINISHED
Object logic in computer science
Logic in computer science is a field that applies formal logical methods to problems in computing, including program verification, automated reasoning, and the design and analysis of algorithms and systems.
E256021 NE FINISHED

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: logic in computer science | Statement: [Proceedings of the IEEE Symposium on Logic in Computer Science, field, logic in computer science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: logic in computer science
Context triple: [Proceedings of the IEEE Symposium on Logic in Computer Science, field, logic in computer science]
  • A. Logical Methods in Computer Science
    Logical Methods in Computer Science is a peer-reviewed open-access journal focusing on theoretical computer science, particularly logic and its applications to computer science.
  • B. The Logic of Computer Programming
    The Logic of Computer Programming is a foundational textbook in theoretical computer science that rigorously develops methods for specifying, proving, and reasoning about the correctness of computer programs.
  • C. Proceedings of the IEEE Symposium on Logic in Computer Science
    Proceedings of the IEEE Symposium on Logic in Computer Science is a leading peer-reviewed conference publication featuring research at the intersection of logic and computer science, including areas such as formal methods, verification, and computational logic.
  • D. Mathematical Theory of Computation
    Mathematical Theory of Computation is a foundational textbook in theoretical computer science that systematically develops formal models of computation, computability, and complexity.
  • E. Track B: Automata, Logic, Semantics and Theory of Programming
    Track B: Automata, Logic, Semantics and Theory of Programming is a main research track of the International Colloquium on Automata, Languages and Programming focusing on theoretical foundations of computation, programming languages, and formal methods.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: logic in computer science
Triple: [Proceedings of the IEEE Symposium on Logic in Computer Science, field, logic in computer science]
Generated description
Logic in computer science is a field that applies formal logical methods to problems in computing, including program verification, automated reasoning, and the design and analysis of algorithms and systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: logic in computer science
Target entity description: Logic in computer science is a field that applies formal logical methods to problems in computing, including program verification, automated reasoning, and the design and analysis of algorithms and systems.
  • A. Logical Methods in Computer Science
    Logical Methods in Computer Science is a peer-reviewed open-access journal focusing on theoretical computer science, particularly logic and its applications to computer science.
  • B. The Logic of Computer Programming
    The Logic of Computer Programming is a foundational textbook in theoretical computer science that rigorously develops methods for specifying, proving, and reasoning about the correctness of computer programs.
  • C. Proceedings of the IEEE Symposium on Logic in Computer Science chosen
    Proceedings of the IEEE Symposium on Logic in Computer Science is a leading peer-reviewed conference publication featuring research at the intersection of logic and computer science, including areas such as formal methods, verification, and computational logic.
  • D. Mathematical Theory of Computation
    Mathematical Theory of Computation is a foundational textbook in theoretical computer science that systematically develops formal models of computation, computability, and complexity.
  • E. Track B: Automata, Logic, Semantics and Theory of Programming
    Track B: Automata, Logic, Semantics and Theory of Programming is a main research track of the International Colloquium on Automata, Languages and Programming focusing on theoretical foundations of computation, programming languages, and formal methods.
  • F. None of above.

Provenance (5 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750d132e081909c977b3dc4110ca4 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb162d718819081fbc3a082672b4f completed April 14, 2026, 9:28 p.m.
NEDg Description generation batch_69dec255abb08190bf93573c41aa35e9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec7c48c3c81909365b901830f0906 completed April 14, 2026, 11:03 p.m.
Created at: April 8, 2026, 9:20 p.m.