Triple

T24065212
Position Surface form Disambiguated ID Type / Status
Subject Sullivan minimal model E596068 entity
Predicate hasEquivalenceClass P154723 FINISHED
Object quasi-isomorphism class of cdgas 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: quasi-isomorphism class of cdgas | Statement: [Sullivan minimal model, hasEquivalenceClass, quasi-isomorphism class of cdgas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEquivalenceClass
Context triple: [Sullivan minimal model, hasEquivalenceClass, quasi-isomorphism class of cdgas]
  • A. hasEquivalenceRelation
    Indicates that there exists an equivalence relation between the entities, meaning they are related in a way that is reflexive, symmetric, and transitive.
  • B. hasEquivalent
    Indicates that two entities are considered equal in value, meaning, or function within a given context.
  • C. hasStateEquivalent
    Indicates that two entities share an equivalent state or condition, even if they are not otherwise identical.
  • D. hasConjugacyClasses
    Indicates that a group is associated with specific conjugacy classes, each consisting of elements that are mutually conjugate within the group.
  • E. hasEquivalentCondition
    Indicates that one condition is logically or functionally equivalent to another condition.
  • 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_69e288c25c008190850cf447940ab181 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1da5aa1a48190afec72bbcfd379c3 completed April 29, 2026, 10:15 a.m.
PD Predicate disambiguation batch_69f1764b1d4c8190b12590c6339c31c1 completed April 29, 2026, 3:08 a.m.
PDg Predicate description generation batch_69f1785afe3c81909be28986ffe944bf completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 10:39 p.m.