Triple

T1103234
Position Surface form Disambiguated ID Type / Status
Subject WebAssembly JavaScript Interface E25427 entity
Predicate implementedIn P2539 FINISHED
Object Edge E7154 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: Edge | Statement: [WebAssembly JavaScript Interface, implementedIn, Edge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edge
Context triple: [WebAssembly JavaScript Interface, implementedIn, Edge]
  • A. Edge chosen
    Edge is Microsoft’s modern web browser designed to be fast, secure, and integrated with the Windows ecosystem and Microsoft services.
  • B. The Edge
    The Edge is the Irish musician and guitarist best known as the lead guitarist and a founding member of the rock band U2, recognized for his distinctive echo-laden playing style.
  • C. Axis
    Axis refers to the World War II military coalition of Germany, Italy, Japan, and their allies that opposed the Allied powers.
  • D. Echo
    Echo is Amazon’s smart speaker line that integrates the Alexa voice assistant to control smart-home devices, play media, and provide information via voice commands.
  • E. Bleeding Edge
    Bleeding Edge is a 2013 postmodern detective novel by Thomas Pynchon that explores the intersection of technology, capitalism, and conspiracy in New York City around the time of the dot-com crash and 9/11.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c375848190baec4d534f489616 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c4a402081908ee138257425a336 completed March 7, 2026, 4:03 p.m.
Created at: March 1, 2026, 7:43 p.m.