Triple

T5922921
Position Surface form Disambiguated ID Type / Status
Subject Deno Land Inc. E131739 entity
Predicate product P490 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 Land Inc., product, Deno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deno
Context triple: [Deno Land Inc., product, 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. Vite
    Vite is a modern, lightning-fast frontend build tool and development server that leverages native ES modules and optimized bundling for frameworks like Vue and React.
  • D. Deno Deploy
    Deno Deploy is a cloud platform for running JavaScript, TypeScript, and WebAssembly applications at the edge using the Deno runtime.
  • E. V8
    V8 is an eight-cylinder internal combustion engine configuration arranged in two banks of four cylinders forming a "V" shape, commonly used in high-performance and large vehicles.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e39ea48c8190a968f81f0e26ccbf completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 4 p.m.