Triple

T4555396
Position Surface form Disambiguated ID Type / Status
Subject Symfony E120465 entity
Predicate website P69 FINISHED
Object https://symfony.com E120465 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: https://symfony.com | Statement: [Symfony, website, https://symfony.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: https://symfony.com
Context triple: [Symfony, website, https://symfony.com]
  • A. Symfony chosen
    Symfony is a popular open-source PHP framework used for building scalable, high-performance web applications and reusable components.
  • B. Nuxt.js
    Nuxt.js is a high-level framework built on Vue.js that simplifies the development of server-rendered, statically generated, and single-page web applications.
  • C. Phoenix Framework
    Phoenix Framework is an Elixir-based web development framework known for its high performance, real-time capabilities, and productive developer experience inspired by Ruby on Rails.
  • D. Read the Docs
    Read the Docs is an open-source documentation hosting platform that automatically builds, version-manages, and serves technical docs for software projects.
  • E. Laravel
    Laravel is a popular open-source PHP web application framework known for its elegant syntax, robust tooling, and support for rapid application development.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5813af948190b10b02dadf6496bf completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc57d59f88190857cbda79caf3c38 completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.