Triple

T17569338
Position Surface form Disambiguated ID Type / Status
Subject RandomAccessCollection E427893 entity
Predicate conformingTypesInclude P128054 FINISHED
Object ContiguousArray 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: ContiguousArray | Statement: [RandomAccessCollection, conformingTypesInclude, ContiguousArray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ContiguousArray
Context triple: [RandomAccessCollection, conformingTypesInclude, ContiguousArray]
  • A. ArrayComm
    ArrayComm is a wireless communications technology company known for pioneering smart antenna and adaptive beamforming solutions to improve mobile network capacity and performance.
  • B. SparseArrays
    SparseArrays is a Julia standard library module that provides data structures and operations for efficiently working with sparse matrices and related linear algebra.
  • C. Array chosen
    Array is a fundamental Swift collection type that stores an ordered, indexable list of values of the same type.
  • D. Very Large Array
    The Very Large Array is a world-renowned radio astronomy observatory in New Mexico composed of 27 large dish antennas arranged in a Y-shaped configuration to study celestial radio sources.
  • E. RandomAccessCollection
    RandomAccessCollection is a Swift protocol for collections that support efficient, index-based random access to their elements in constant time.
  • 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.