Triple

T1160150
Position Surface form Disambiguated ID Type / Status
Subject Deno E24472 entity
Predicate name P16 FINISHED
Object Deno E24472 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: Deno | Statement: [Deno, name, Deno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deno
Context triple: [Deno, name, Deno]
  • A. Deno chosen
    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.
  • B. Dart
    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).
  • C. V8
    V8 is Google’s high-performance open-source JavaScript engine, used in Chrome and Node.js to compile and execute JavaScript directly to native machine code.
  • D. V8
    V8 is a popular vegetable-based juice brand known for its blended vegetable and fruit beverages marketed as a nutritious drink option.
  • E. Node.js
    Node.js is an open-source, cross-platform runtime environment that allows developers to execute JavaScript code on the server side.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcaf3a9081908bad2eba74dffbc1 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac667d2bdc8190b7d797683a4d3fe8 completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:45 p.m.