Triple

T17569079
Position Surface form Disambiguated ID Type / Status
Subject Array (Swift) E427888 entity
Predicate conformsTo P3994 FINISHED
Object RandomAccessCollection NE NERFINISHED

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: RandomAccessCollection | Statement: [Array (Swift), conformsTo, RandomAccessCollection]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RandomAccessCollection
Context triple: [Array (Swift), conformsTo, RandomAccessCollection]
  • A. RandomAccessCollection chosen
    RandomAccessCollection is a Swift protocol for collections that support efficient, index-based random access to their elements in constant time.
  • B. ReadOnlyCollectionBase
    ReadOnlyCollectionBase is an abstract base class in the .NET Framework that provides a simple foundation for creating strongly typed, read-only collection wrappers.
  • C. BidirectionalCollection
    BidirectionalCollection is a Swift standard library protocol for collections whose elements can be traversed efficiently in both forward and backward directions.
  • D. SparseArrays
    SparseArrays is a Julia standard library module that provides data structures and operations for efficiently working with sparse matrices and related linear algebra.
  • E. Oracle Advanced Collections
    Oracle Advanced Collections is an Oracle E-Business Suite application that streamlines and automates the debt collection process to improve cash flow and reduce delinquencies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592f29d08190bc3de905d35af849 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.