Triple

T16702812
Position Surface form Disambiguated ID Type / Status
Subject Gecko E405891 entity
Predicate competesWith P1375 FINISHED
Object EdgeHTML E134381 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: EdgeHTML | Statement: [Gecko, competesWith, EdgeHTML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EdgeHTML
Context triple: [Gecko, competesWith, EdgeHTML]
  • A. EdgeHTML chosen
    EdgeHTML is a proprietary web browser engine developed by Microsoft for earlier versions of the Microsoft Edge browser before it transitioned to Chromium.
  • B. HTM
    HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
  • C. Microsoft Trident engine
    Microsoft Trident engine is a proprietary web browser layout engine developed by Microsoft and primarily used in Internet Explorer to render web pages.
  • D. HTML
    HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
  • E. HAL (Hypertext Application Language)
    HAL (Hypertext Application Language) is a simple, JSON-based hypermedia format that standardizes how to represent and navigate links and embedded resources in RESTful APIs.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38333a6908190a17d2dee2ca622d6 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a0dee08190a67ed5df2008c91e completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.