Triple

T36640566
Position Surface form Disambiguated ID Type / Status
Subject S5 E904571 entity
Predicate hasAutomorphismGroupIsomorphicTo P96510 FINISHED
Object S5 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: S5 | Statement: [S5, hasAutomorphismGroupIsomorphicTo, S5]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAutomorphismGroupIsomorphicTo
Context triple: [S5, hasAutomorphismGroupIsomorphicTo, S5]
  • A. hasAutomorphismGroupContaining
    Indicates that the automorphism group of one mathematical structure includes the other group as a subgroup or component.
  • B. isAutomorphismGroupOf
    Indicates that a group is the full automorphism group consisting of all structure-preserving bijections (automorphisms) of a given mathematical object.
  • C. automorphismGroupIsomorphicTo chosen
    Indicates that the automorphism group of one structure is isomorphic, as a group, to the automorphism group of another structure.
  • D. hasAutomorphism
    Indicates that there exists a structure-preserving bijection from an entity to itself that maintains all relevant relations and operations.
  • E. hasOuterAutomorphisms
    Indicates that the mathematical structure in question admits non-inner automorphisms, i.e., symmetries not arising from conjugation by its own elements.
  • 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_69f76e6c63e48190b1d0c3a79a6c7406 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd8ccbd4c88190b13aae0673b3c821 completed May 8, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69fd8ae2227c819089546f5c3629799e completed May 8, 2026, 7:04 a.m.
Created at: May 3, 2026, 4:11 p.m.