Triple

T32516992
Position Surface form Disambiguated ID Type / Status
Subject Curve448 E831085 entity
Predicate curveForm P91205 FINISHED
Object Montgomery curve NE NERFINISHED

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: Montgomery curve | Statement: [Curve448, curveForm, Montgomery curve]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: curveForm
Context triple: [Curve448, curveForm, Montgomery curve]
  • A. curveOrder
    Indicates the specific sequence or ranking assigned to curves within a set or system.
  • B. curveEquationForm
    Indicates that one entity is expressed as the mathematical equation or algebraic form that defines the shape or properties of a curve associated with another entity.
  • C. curveEquationType chosen
    Indicates the specific mathematical form or classification of the equation that defines a curve.
  • D. curveCondition
    Indicates that a specific condition or constraint applies to a curve, such as its shape, smoothness, or allowable parameter range.
  • E. curveEquation
    Indicates that one entity is the mathematical equation that defines or represents the curve described by the other 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_69f3492318348190ba37fb6b5f1d67f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6cd126fcc8190aa1f1f146e45ec0c completed May 3, 2026, 4:20 a.m.
PD Predicate disambiguation batch_69f6cc1470808190b70cdfd7a6395670 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1 a.m.