Triple

T32117185
Position Surface form Disambiguated ID Type / Status
Subject NSCopying E820269 entity
Predicate usedInPattern P195403 FINISHED
Object value object pattern 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: value object pattern | Statement: [NSCopying, usedInPattern, value object pattern]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInPattern
Context triple: [NSCopying, usedInPattern, value object pattern]
  • A. usedInMatch
    Indicates that something (such as an item, tactic, or resource) was employed or utilized during a particular match or game.
  • B. usedInType
    Indicates that something serves as a component, element, or example within a particular type or category.
  • C. usedInMatchType
    Indicates that something (such as a rule, item, or configuration) is applied or relevant within a specific type or category of match.
  • D. usedInExpression
    Indicates that one entity (typically a term, symbol, or construct) is employed as a component within another entity that represents an expression.
  • E. usedInMethod
    Indicates that something (such as a component, variable, or resource) is utilized or referenced within the execution or implementation of a particular method.
  • 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_69f3490209c881908ec0241476715f15 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fdd07a34c08190982b8c61c2775cf6 completed May 8, 2026, noon
PD Predicate disambiguation batch_69fdbd25c7908190b72fca8de7ce503f completed May 8, 2026, 10:38 a.m.
PDg Predicate description generation batch_69fdd07724f88190a33ec602642d2ea3 completed May 8, 2026, noon
Created at: May 1, 2026, 12:28 a.m.