Triple

T5768535
Position Surface form Disambiguated ID Type / Status
Subject Extensions gallery (Safari) E127270 entity
Predicate platform P1292 FINISHED
Object Safari E95180 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: Safari | Statement: [Extensions gallery (Safari), platform, Safari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safari
Context triple: [Extensions gallery (Safari), platform, Safari]
  • A. Safari
    "Safari" is a reggaeton song by Colombian artist J Balvin, known for its infectious rhythm and international popularity.
  • B. 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.
  • 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. Kinza Browser
    Kinza Browser is a Japanese-developed, Chromium-based web browser that offers extensive customization options and user-centric features built on the Blink rendering engine.
  • E. Mozilla Firefox
    Mozilla Firefox is a free, open-source web browser developed by Mozilla, known for its strong privacy features, customizability, and support for open web standards.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02974ae2c8190aee5ee61fc69ad79 completed March 22, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e349d0088190be108aa266d3af82 completed March 23, 2026, 6:52 a.m.
Created at: March 22, 2026, 3:49 p.m.