Triple

T25851779
Position Surface form Disambiguated ID Type / Status
Subject Arnold conjecture E651228 entity
Predicate givesLowerBoundInTermsOf P96513 FINISHED
Object sum of Betti numbers of the manifold 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: sum of Betti numbers of the manifold | Statement: [Arnold conjecture, givesLowerBoundInTermsOf, sum of Betti numbers of the manifold]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: givesLowerBoundInTermsOf
Context triple: [Arnold conjecture, givesLowerBoundInTermsOf, sum of Betti numbers of the manifold]
  • A. givesBoundOn chosen
    Indicates that one quantity provides an upper or lower limit (a bound) on the value or behavior of another quantity.
  • B. knownLowerBoundProvedBy
    Indicates that a specific lower bound has been formally established or proven by a particular method, proof, or source.
  • C. isUpperBoundFor
    Indicates that one value is greater than or equal to every element in a given set or collection, serving as an upper limit for them.
  • D. boundedByApprox
    Indicates that one quantity is constrained by another within an approximate or tolerance-based bound, rather than an exact strict limit.
  • E. isBoundedBelow
    Indicates that every value in a set or function is greater than or equal to some fixed lower bound.
  • 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_69e7ab39035c8190be15c8aaee1bb858 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6023b96208190925872085ada10e3 completed May 2, 2026, 1:55 p.m.
PD Predicate disambiguation batch_69f5f7fba5248190945acf1561280799 completed May 2, 2026, 1:11 p.m.
Created at: April 22, 2026, 7:58 a.m.