Triple

T24957239
Position Surface form Disambiguated ID Type / Status
Subject Fano inequality E624508 entity
Predicate givesLowerBoundOn P96513 FINISHED
Object probability of decoding error 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: probability of decoding error | Statement: [Fano inequality, givesLowerBoundOn, probability of decoding error]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: givesLowerBoundOn
Context triple: [Fano inequality, givesLowerBoundOn, probability of decoding error]
  • A. givesBoundOn chosen
    Indicates that one quantity provides an upper or lower limit (a bound) on the value or behavior of another quantity.
  • B. 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.
  • C. knownLowerBoundProvedBy
    Indicates that a specific lower bound has been formally established or proven by a particular method, proof, or source.
  • D. isBoundedBelow
    Indicates that every value in a set or function is greater than or equal to some fixed lower bound.
  • E. hasLowerBoundaryDefinedBy
    Indicates that one entity’s lower limit, edge, or boundary is specified or determined by 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_69e2ff23a3a88190b1b9743fe5e15f94 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f47b865df48190bf4b6d3e9f9305e6 completed May 1, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69f4682c8a3c8190adbfaac99474eaaf completed May 1, 2026, 8:45 a.m.
Created at: April 18, 2026, 5:58 a.m.