Triple

T5838836
Position Surface form Disambiguated ID Type / Status
Subject Zope E129541 entity
Predicate shortName P43 FINISHED
Object Zope E129541 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: Zope | Statement: [Zope, shortName, Zope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zope
Context triple: [Zope, shortName, Zope]
  • A. Zope chosen
    Zope is an open-source web application server and framework for the Python programming language, known for pioneering object publishing and component-based web development.
  • B. Plone
    Plone is an open-source content management system built on the Zope application server, known for its strong security, flexibility, and enterprise-ready features.
  • C. Zope Foundation
    The Zope Foundation is a non-profit organization that oversees the development, stewardship, and community support of the Zope open-source web application server and related technologies.
  • D. Zope Component Architecture integration
    Zope Component Architecture integration is a system that brings Zope’s flexible component and adapter patterns into other Python frameworks to enable modular, pluggable application design.
  • E. Zope Page Templates
    Zope Page Templates are an XML-based templating system used in the Zope web application server to generate dynamic web pages while separating presentation from application logic.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a852f88190a5d2c4b24ee17491 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0f371008190b11cd4da8a55dbb9 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:54 p.m.