Triple

T29565503
Position Surface form Disambiguated ID Type / Status
Subject Brauer–Manin obstruction E753151 entity
Predicate canBeNontrivialFor P192430 FINISHED
Object K3 surfaces NE NERFINISHED

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: K3 surfaces | Statement: [Brauer–Manin obstruction, canBeNontrivialFor, K3 surfaces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeNontrivialFor
Context triple: [Brauer–Manin obstruction, canBeNontrivialFor, K3 surfaces]
  • A. nontrivialWhen
    Indicates that the timing or occurrence of an event or condition is significant or non-obvious, rather than simple or trivial.
  • B. isNontrivialCoverWhen
    Indicates that one entity serves as a cover of another in a way that is not trivial, meaning the covering relationship is proper and carries substantive structural or contextual significance.
  • C. isTrivialWhen
    Indicates that one condition, case, or problem becomes trivial or easily solvable when another specified condition holds.
  • D. isNonSimple
    Indicates that the relationship or structure in question is not simple, typically meaning it has additional complexity, such as multiple components, repetitions, or self-intersections.
  • E. isNonzeroFor
    Indicates that a given value, function, or quantity is not equal to zero under specified conditions or for specified inputs.
  • 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_69f0ef7fcb4881908a933110adb9bda1 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69fd0b92f42881908cd77e3f058adcc2 completed May 7, 2026, 10 p.m.
PD Predicate disambiguation batch_69fd0a3d68d4819094d92040f7c48d7c completed May 7, 2026, 9:55 p.m.
PDg Predicate description generation batch_69fd0b92150881909b1166fe6d09aa19 completed May 7, 2026, 10 p.m.
Created at: April 28, 2026, 5:52 p.m.