Triple

T21983243
Position Surface form Disambiguated ID Type / Status
Subject WebBrowser E542891 entity
Predicate example P1259 FINISHED
Object Apple Safari 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: Apple Safari | Statement: [WebBrowser, example, Apple Safari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Safari
Context triple: [WebBrowser, example, Apple Safari]
  • A. Apple Safari
    Apple Safari is Apple’s proprietary web browser known for its tight integration with macOS and iOS, emphasis on performance and energy efficiency, and strong privacy protections.
  • B. Safari
    "Safari" is a reggaeton song by Colombian artist J Balvin, known for its infectious rhythm and international popularity.
  • C. Safari
    "Safari" is an alternative rock song by American band The Breeders, known for its fuzzy guitars, dynamic shifts, and early-1990s indie sound.
  • D. Safari chosen
    Safari is Apple’s native web browser for macOS and iOS, known for its speed, energy efficiency, and deep integration with the Apple ecosystem.
  • E. iOS
    iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270629588190aea32fbe630e4cba completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:04 p.m.