Triple

T2325593
Position Surface form Disambiguated ID Type / Status
Subject Ricci flow E48279 entity
Predicate singularityAnalysisUses P4746 FINISHED
Object blow-up techniques 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: blow-up techniques | Statement: [Ricci flow, singularityAnalysisUses, blow-up techniques]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: singularityAnalysisUses
Context triple: [Ricci flow, singularityAnalysisUses, blow-up techniques]
  • A. symbolInComplexAnalysis
    Indicates that a given symbol is used specifically within the context or notation of complex analysis.
  • B. analyzes
    Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
  • C. helpsAnalyze
    Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
  • D. mathematicallyUses chosen
    Indicates that one entity employs or applies another entity within a mathematical context, such as in a formula, proof, computation, or theoretical framework.
  • E. unitOfAnalysis
    Indicates the primary entity, level, or component that is being examined or measured in a given analysis or study.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abcc30c5e881908c5d526d7e7491d0 completed March 7, 2026, 6:56 a.m.
PD Predicate disambiguation batch_69abc5926d048190a535e3f23d41de2a completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:50 p.m.