Triple

T7897316
Position Surface form Disambiguated ID Type / Status
Subject System E183368 entity
Predicate hasSubNamespace P79649 FINISHED
Object System.IO E183370 NE 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: System.IO | Statement: [System, hasSubNamespace, System.IO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: System.IO
Context triple: [System, hasSubNamespace, System.IO]
  • A. System.IO chosen
    System.IO is a .NET namespace that provides types for reading and writing data to streams, files, and directories.
  • B. System.Net
    System.Net is a .NET namespace that provides classes for network programming, including HTTP communication, sockets, and other internet protocol support.
  • C. System.Collections
    System.Collections is a .NET namespace that provides fundamental interfaces and classes for working with non-generic collections such as lists, queues, arrays, and dictionaries.
  • D. System.Threading
    System.Threading is a .NET namespace that provides types and APIs for working with threads, tasks, synchronization, and concurrent programming.
  • E. Filesystem
    Filesystem is a Symfony component that provides convenient, object-oriented utilities for interacting with and manipulating the file system in PHP applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a296db8819084c620b12f77acb5 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bb24c8c8190860e4dd1d705b04b completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:01 p.m.