Triple

T17693878
Position Surface form Disambiguated ID Type / Status
Subject Natural Policy Gradient E441106 entity
Predicate canBeApproximatedBy P4460 FINISHED
Object conjugate gradient methods 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: conjugate gradient methods | Statement: [Natural Policy Gradient, canBeApproximatedBy, conjugate gradient methods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeApproximatedBy
Context triple: [Natural Policy Gradient, canBeApproximatedBy, conjugate gradient methods]
  • A. approximationType
    Indicates the specific method or scheme used to approximate a value, function, or relationship in a given context.
  • B. approximates chosen
    Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
  • C. approximationFamily
    Indicates a relationship where one entity serves as an approximation or approximate representation of another within a defined family or set of approximations.
  • D. hasApproximateShape
    Indicates that one entity has a shape that is similar to, but not exactly the same as, the shape of another entity.
  • E. hasApproximateUse
    Indicates that one entity is used for a purpose that is similar to, but not exactly the same as, the use or function of 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4715485d88190b9b6f347ff85d7c7 completed April 19, 2026, 6:08 a.m.
PD Predicate disambiguation batch_69e3cde3673c8190a889e14ba1f07dc1 completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 10:04 a.m.