Triple

T16356669
Position Surface form Disambiguated ID Type / Status
Subject The Wilderness Downtown E397198 entity
Predicate usesTechnology P1485 FINISHED
Object HTML5 E13761 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: HTML5 | Statement: [The Wilderness Downtown, usesTechnology, HTML5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HTML5
Context triple: [The Wilderness Downtown, usesTechnology, HTML5]
  • A. HTML5 chosen
    HTML5 is the fifth major version of the HyperText Markup Language standard, introducing modern web features such as semantic elements, native audio and video, and enhanced APIs for building rich, interactive web applications.
  • B. HTML
    HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
  • C. HTML Living Standard
    The HTML Living Standard is the continuously updated, authoritative specification for the HTML language maintained by the WHATWG to define how web content is structured and behaves across browsers.
  • D. DHTML
    DHTML (Dynamic HTML) is a web development technique that combines HTML, CSS, and JavaScript to create interactive and animated web pages that update content dynamically without reloading.
  • E. HTM
    HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facf67e0819089a23ce6f5642fbe completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbaacd88190b2c90c5be2832307 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.