Triple

T26966609
Position Surface form Disambiguated ID Type / Status
Subject EXPTIME E679188 entity
Predicate relationshipStatusWithPSPACE P62369 FINISHED
Object PSPACE vs EXPTIME is open 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: PSPACE vs EXPTIME is open | Statement: [EXPTIME, relationshipStatusWithPSPACE, PSPACE vs EXPTIME is open]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWithPSPACE
Context triple: [EXPTIME, relationshipStatusWithPSPACE, PSPACE vs EXPTIME is open]
  • A. complexityClassRelation chosen
    Indicates a relationship between two computational complexity classes, such as inclusion, equivalence, or separation, within the hierarchy of complexity theory.
  • B. relationToNPCompleteness
    Indicates that the subject has a defined conceptual or formal connection to the notion of NP-completeness (e.g., being NP-complete, related to NP-complete problems, or used in reasoning about NP-completeness).
  • C. yearNPCompletenessProved
    Indicates the year in which the NP-completeness of a given problem was formally proved.
  • D. isUnconditionalPolynomialTime
    Indicates that an algorithm or computation runs in polynomial time without relying on any unproven assumptions or conjectures.
  • E. isNPComplete
    Indicates that a decision problem is both in NP and NP-hard, meaning it can be verified in polynomial time and is at least as hard as any problem in NP.
  • 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_69eeeb4f3a448190b1e94b2d4776c16e completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69ff16775a9881909d26dbc1f0ef3e1c completed May 9, 2026, 11:11 a.m.
PD Predicate disambiguation batch_69ff158e61708190a1c581d0d306cfce completed May 9, 2026, 11:07 a.m.
Created at: April 27, 2026, 6:36 a.m.