Triple

T27737480
Position Surface form Disambiguated ID Type / Status
Subject System.Reflection.MethodImplAttributes E697563 entity
Predicate canBeCombinedWithBitwiseOr P167330 FINISHED
Object true 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: true | Statement: [System.Reflection.MethodImplAttributes, canBeCombinedWithBitwiseOr, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeCombinedWithBitwiseOr
Context triple: [System.Reflection.MethodImplAttributes, canBeCombinedWithBitwiseOr, true]
  • A. isCombinableWithBitwiseOr chosen
    Indicates that two values can be validly combined using the bitwise OR operation to produce a meaningful result.
  • B. appliedBitwise
    Indicates that a bitwise operation has been performed on one value (or set of values) to produce another, using bit-level logical or arithmetic manipulation.
  • C. isConsideredCombinationOf
    Indicates that something is regarded as being formed by or equivalent to a specific combination of other things or components.
  • D. isSubtractiveCombination
    Indicates that one entity is formed or derived by subtracting one or more components, values, or parts of another entity.
  • E. knownForCombining
    Indicates a relationship where one entity is recognized or notable for bringing together or merging multiple elements, entities, or aspects into a unified whole.
  • 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_69ef590c3e288190ad54d2465af8ca4e completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f7764ab1fc81909f9348db87bd7692 completed May 3, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69f76905d9c88190b1ee810bc9ab644f completed May 3, 2026, 3:25 p.m.
Created at: April 27, 2026, 3:13 p.m.