Triple

T11739828
Position Surface form Disambiguated ID Type / Status
Subject Lambert series E279122 entity
Predicate convergesFor P14357 FINISHED
Object |q|<1 in many standard cases 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: |q|<1 in many standard cases | Statement: [Lambert series, convergesFor, |q|<1 in many standard cases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: convergesFor
Context triple: [Lambert series, convergesFor, |q|<1 in many standard cases]
  • A. convergenceProperty chosen
    Indicates that one entity has a convergence-related characteristic or behavior with respect to another entity, such as approaching a limit or stabilizing under repeated application.
  • B. formedByConvergenceOf
    Indicates that something comes into existence or is created as a result of multiple elements, paths, or processes coming together and uniting.
  • C. convergentWith
    Indicates that two or more entities independently develop similar characteristics, functions, or outcomes, typically in response to comparable conditions or constraints.
  • D. divergesAt
    Indicates that a process, function, or behavior fails to converge or terminate at a specific point or under specific conditions.
  • E. hasNumberOfConvergingAvenues
    Indicates the number of distinct avenues that meet or converge at a particular location or junction.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f025f88190a39280806c9d7c33 completed April 10, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69d88a7f51248190bf492bd7509b5413 completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:41 p.m.