Triple

T8756285
Position Surface form Disambiguated ID Type / Status
Subject Protocol Buffers E208079 entity
Predicate supportsLanguage P2177 FINISHED
Object Dart E24475 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: Dart | Statement: [Protocol Buffers, supportsLanguage, Dart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dart
Context triple: [Protocol Buffers, supportsLanguage, Dart]
  • A. Dart chosen
    Dart is a client-optimized, object-oriented programming language developed by Google, primarily used for building web and cross-platform mobile applications (notably with the Flutter framework).
  • B. Flutter
    Flutter is an open-source UI toolkit by Google for building natively compiled, cross-platform applications from a single Dart codebase.
  • C. Dart SDK
    Dart SDK is the official software development kit for the Dart programming language, providing tools, libraries, and runtime support for building and running Dart applications.
  • D. Flutter Engine
    Flutter Engine is the portable, high-performance runtime at the core of Flutter that renders UI, executes Dart code, and interfaces with platform-specific services across different operating systems.
  • E. Dart VM
    Dart VM is the dedicated virtual machine that executes Dart code, providing just-in-time compilation, garbage collection, and runtime support for Dart 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dd95e9481909cc88e8d91601754 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4338c0f88190a1e3f7ef164b6c6d completed April 3, 2026, 4:34 a.m.
Created at: March 30, 2026, 6:40 p.m.