Triple

T33579762
Position Surface form Disambiguated ID Type / Status
Subject Picard group E860119 entity
Predicate affineExample P176921 FINISHED
Object Pic(A^n_k) = 0 for affine n-space over a field k 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: Pic(A^n_k) = 0 for affine n-space over a field k | Statement: [Picard group, affineExample, Pic(A^n_k) = 0 for affine n-space over a field k]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: affineExample
Context triple: [Picard group, affineExample, Pic(A^n_k) = 0 for affine n-space over a field k]
  • A. onAffineSpace
    Indicates that one geometric object or structure lies within or is defined over a specified affine space.
  • B. hasAffineModel
    Indicates that one entity can be represented or approximated by an affine (linear plus translation) mathematical model derived from or associated with another entity.
  • C. hasAffineChart
    Indicates that a geometric or algebraic object is associated with, or can be described by, a specific affine coordinate chart.
  • D. formsAxisOf
    Indicates that one entity serves together with another as the central line or primary axis around which a structure, system, or configuration is organized.
  • E. anamorphOf
    Indicates that one entity is an anamorphic transformation or distorted projection of another, typically related by a specific viewing angle or optical correction.
  • 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_69f3497d37848190afcbb5ef3f5c7376 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f8164698819090c1b471f1caa4c6 completed May 3, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69f6f6632dfc8190af85e258c8519207 completed May 3, 2026, 7:16 a.m.
PDg Predicate description generation batch_69f6f70b0ca081908b24a98937e6ef66 completed May 3, 2026, 7:19 a.m.
Created at: May 1, 2026, 1:40 a.m.