Triple

T9931687
Position Surface form Disambiguated ID Type / Status
Subject ECC E192661 entity
Predicate usesMathematicsOf P4746 FINISHED
Object elliptic curves 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: elliptic curves | Statement: [ECC, usesMathematicsOf, elliptic curves]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMathematicsOf
Context triple: [ECC, usesMathematicsOf, elliptic curves]
  • A. mathematicallyUses chosen
    Indicates that one entity employs or applies another entity within a mathematical context, such as in a formula, proof, computation, or theoretical framework.
  • B. supportsMathematicsTopic
    Indicates that one entity provides assistance, resources, or reinforcement for understanding or working with a particular mathematics topic.
  • C. mathematicallyExpressedBy
    Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
  • D. hasMathematicalProperty
    Indicates that one entity possesses or exhibits a specific mathematical property or characteristic.
  • E. mathematicallyFormulatedBy
    Indicates that something (such as a concept, model, or theory) is expressed or defined using mathematical formulations created by a particular agent.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b54f348190b8e70e7beff6098a completed April 2, 2026, 12:17 a.m.
PD Predicate disambiguation batch_69cd1d90b8a8819081748f129c0c6ab6 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:43 p.m.