Triple

T21763277
Position Surface form Disambiguated ID Type / Status
Subject Max-3-SAT E537214 entity
Predicate hasApproximationAlgorithm P4447 FINISHED
Object randomized 7/8-approximation 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: randomized 7/8-approximation | Statement: [Max-3-SAT, hasApproximationAlgorithm, randomized 7/8-approximation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproximationAlgorithm
Context triple: [Max-3-SAT, hasApproximationAlgorithm, randomized 7/8-approximation]
  • A. hasPolynomialTimeAlgorithm
    Indicates that there exists an algorithm for the given problem or task whose running time is bounded by a polynomial function of the size of its input.
  • B. hasCPApproximateEigenvalue
    Indicates that one entity is an approximate eigenvalue of a completely positive (CP) map or operator associated with another entity.
  • C. approximates
    Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
  • D. approximationType chosen
    Indicates the specific method or scheme used to approximate a value, function, or relationship in a given context.
  • E. hasApproximateUse
    Indicates that one entity is used for a purpose that is similar to, but not exactly the same as, the use or function of another entity.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a711dc8190a786c9849dc344e8 completed April 28, 2026, 4:03 a.m.
PD Predicate disambiguation batch_69e6be6299988190a34c98fa76d94700 completed April 21, 2026, 12:01 a.m.
Created at: April 16, 2026, 6:51 p.m.