Triple

T36469913
Position Surface form Disambiguated ID Type / Status
Subject Liouville's inequality in Diophantine approximation E898513 entity
Predicate generalFormUses P24049 FINISHED
Object height of an algebraic number 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: height of an algebraic number | Statement: [Liouville's inequality in Diophantine approximation, generalFormUses, height of an algebraic number]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: generalFormUses
Context triple: [Liouville's inequality in Diophantine approximation, generalFormUses, height of an algebraic number]
  • A. standardFormUsedIn
    Indicates that a particular standard form is employed or applied within a given context, process, or system.
  • B. generalizedForm
    Indicates that one entity is a more abstract, generalized version or broader form of another entity.
  • C. formalizationUses
    Indicates that one formalization or formal system makes use of, depends on, or incorporates another resource, method, or framework in its construction or application.
  • D. usesForm
    Indicates that one entity employs, applies, or operates through a particular form, format, or structured representation of something.
  • E. formulaUsed chosen
    Indicates that a particular formula is employed or applied in performing a calculation, derivation, or reasoning step.
  • 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_69f76e58ebd88190b75d9b169b59d793 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69f7bccf05bc8190b61fdb2b2a315811 completed May 3, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:10 p.m.