Triple

T2752719
Position Surface form Disambiguated ID Type / Status
Subject Smalltalk E61024 entity
Predicate influenced P9 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: [Smalltalk, influenced, Dart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dart
Context triple: [Smalltalk, influenced, 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 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.
  • D. Dart Dev Compiler
    Dart Dev Compiler is a modern Dart-to-JavaScript compiler designed to provide fast, incremental compilation and strong debugging support for Dart web development.
  • E. Deno
    Deno is a modern, secure JavaScript and TypeScript runtime created by Ryan Dahl as a successor to Node.js, featuring built-in TypeScript support and a permission-based security model.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6ed9c08190824d1866e198ef80 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbdb43d481909bf4e61840979c0a completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:56 p.m.