Triple

T22373953
Position Surface form Disambiguated ID Type / Status
Subject QTable E553108 entity
Predicate framework P2450 FINISHED
Object Quasar Framework NE NERFINISHED

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: Quasar Framework | Statement: [QTable, framework, Quasar Framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quasar Framework
Context triple: [QTable, framework, Quasar Framework]
  • A. Quasar Framework chosen
    Quasar Framework is a high-performance, Vue.js-based UI framework for building responsive web, mobile, and desktop applications from a single codebase.
  • B. Plasma Framework
    Plasma Framework is a core KDE library that provides the infrastructure and tools for building Plasma-based graphical user interfaces, widgets, and desktop environments.
  • C. Slim Framework
    Slim Framework is a lightweight PHP micro-framework designed for building simple yet powerful web applications and APIs with minimal overhead.
  • D. Truffle framework
    Truffle framework is a popular development environment and testing framework for building, deploying, and managing Ethereum smart contracts and decentralized applications.
  • E. Silex microframework
    Silex microframework is a lightweight PHP web framework built on Symfony components, designed for creating small, fast, and simple web applications and APIs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15806b534819083716c2b090ede42 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:45 p.m.