Triple

T11919079
Position Surface form Disambiguated ID Type / Status
Subject Fitting ideal E283606 entity
Predicate isMonotoneInIndex P10675 FINISHED
Object yes 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: yes | Statement: [Fitting ideal, isMonotoneInIndex, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isMonotoneInIndex
Context triple: [Fitting ideal, isMonotoneInIndex, yes]
  • A. monotoneIn chosen
    Indicates that the relationship or function preserves a specified order when one of its arguments increases, meaning larger inputs (in that argument) do not lead to smaller outputs with respect to the given ordering.
  • B. isStrictlyIncreasingFromIndex
    Indicates that a sequence’s values form a strictly increasing order starting from a specified index onward.
  • C. hasMonodromy
    Indicates that one mathematical object exhibits a monodromy action or structure with respect to another (typically along loops in a parameter or base space).
  • D. isConcaveIn
    Indicates that a function or relation curves inward (is concave) with respect to a specified variable or argument, so that any line segment between two points on its graph lies below or on the graph.
  • E. isMajorIndexOf
    Indicates that one entity serves as the primary or major index reference for locating, organizing, or identifying another entity.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8dff77481908cacf6ad03df34ac completed April 10, 2026, 12:11 p.m.
PD Predicate disambiguation batch_69d8bb3632ac8190b13e53c2b5db7125 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.