Triple

T20404790
Position Surface form Disambiguated ID Type / Status
Subject Fuchsian differential equation E500438 entity
Predicate excludesSingularities P3119 FINISHED
Object irregular singular points 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: irregular singular points | Statement: [Fuchsian differential equation, excludesSingularities, irregular singular points]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: excludesSingularities
Context triple: [Fuchsian differential equation, excludesSingularities, irregular singular points]
  • A. hasIsolatedSingularity
    Indicates that a function has a singular point at which it is not analytic, but is analytic in some punctured neighborhood around that point.
  • B. excludes chosen
    Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
  • C. excludesPrimes
    Indicates that one entity omits, leaves out, or does not include prime-numbered elements or items from a specified set or collection.
  • D. excludedFrom
    Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
  • E. numberOfSingularPoints
    Indicates the count of distinct singular (non-regular) points associated with a given mathematical object or structure.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6799161c48190825eca3027d1aa51 completed April 20, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69e5765d7cb48190adec18d6d1e3d263 completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:29 a.m.