Triple

T13507022
Position Surface form Disambiguated ID Type / Status
Subject The Complexity of Theorem-Proving Procedures E321037 entity
Predicate studiesProblem P56373 FINISHED
Object Boolean satisfiability problem LITERAL 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: Boolean satisfiability problem | Statement: [The Complexity of Theorem-Proving Procedures, studiesProblem, Boolean satisfiability problem]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: studiesProblem
Context triple: [The Complexity of Theorem-Proving Procedures, studiesProblem, Boolean satisfiability problem]
  • A. studiesFor
    Indicates that one entity engages in studying or academic preparation with the purpose of achieving or supporting another entity (such as a goal, exam, or qualification).
  • B. studiesProcess
    Indicates that an entity systematically examines, researches, or learns about a particular process.
  • C. studiesConcept chosen
    Indicates that an entity engages in learning, examining, or researching a particular concept.
  • D. studiesIn
    Indicates that a person is enrolled as a student at, and pursues their studies within, a particular educational institution or program.
  • E. alsoStudied
    Indicates that an entity pursued additional studies in another subject, field, or institution besides a primary one.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf8259a08190ada13c4a3078f07d completed April 12, 2026, 2:43 p.m.
PD Predicate disambiguation batch_69dbae0b63748190b5e207f84b2532ea completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:43 p.m.