Triple

T18629562
Position Surface form Disambiguated ID Type / Status
Subject Q-learning E455376 entity
Predicate usesMaxOperatorOver P132460 FINISHED
Object next-state action values 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: next-state action values | Statement: [Q-learning, usesMaxOperatorOver, next-state action values]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMaxOperatorOver
Context triple: [Q-learning, usesMaxOperatorOver, next-state action values]
  • A. usesOperatorPosition
    Indicates that one entity occupies or is assigned to the role of an operator within a particular position or context.
  • B. isMaximumWhen
    Indicates that a quantity or function reaches its greatest possible value under specified conditions or at a particular point.
  • C. largestOperator
    Indicates that the subject is the operator with the greatest size, capacity, or scale among a specified set of operators.
  • D. usedByOperator
    Indicates that something is utilized or operated by a particular operator or operating entity.
  • E. hasMajorOperator
    Indicates that an entity is primarily operated, managed, or run by a specified main operator or organization.
  • F. None of above. chosen

Provenance (4 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f06f4a081909b64f33814577488 completed April 19, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69e478d4a7948190a4bb9223bb5dddfc completed April 19, 2026, 6:40 a.m.
PDg Predicate description generation batch_69e485f5d1588190b44f31cbc54c0a9d completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 11:46 a.m.