Triple

T7338381
Position Surface form Disambiguated ID Type / Status
Subject Monster group E169186 entity
Predicate hasNonAbelianSylow2Subgroups P77169 FINISHED
Object true 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: true | Statement: [Monster group, hasNonAbelianSylow2Subgroups, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNonAbelianSylow2Subgroups
Context triple: [Monster group, hasNonAbelianSylow2Subgroups, true]
  • A. isNonAbelian
    Indicates that the operation or structure in question does not satisfy commutativity, so the order of applying the operation matters.
  • B. isSemidirectProductOf
    Indicates that a group is constructed as a semidirect product of two subgroups, where one subgroup acts on the other via automorphisms in a way that generalizes the direct product.
  • C. hasNormalSubgroup
    Indicates that one group is a normal subgroup of another group, meaning it is invariant under conjugation by elements of the larger group.
  • D. hasOrientationPreservingSubgroupNotation
    Indicates that a notation is used to represent a subgroup that preserves orientation within a larger structure or group.
  • E. usesSymmetryGroup
    Indicates that one entity employs or is based on a particular symmetry group in its structure, behavior, or formulation.
  • F. None of above. chosen

Provenance (4 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f347f25081908e6086d4073295f5 completed March 27, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69c6f028fd748190b2ea5c3081958a42 completed March 27, 2026, 9:01 p.m.
PDg Predicate description generation batch_69c6f3463d0481908aed9ed43a8ac6a8 completed March 27, 2026, 9:14 p.m.
Created at: March 27, 2026, 3:04 p.m.