Triple

T5029029
Position Surface form Disambiguated ID Type / Status
Subject Apple News E113249 entity
Predicate platform P1292 FINISHED
Object iPad E12499 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: iPad | Statement: [Apple News, platform, iPad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iPad
Context triple: [Apple News, platform, iPad]
  • A. iPad chosen
    The iPad is Apple's line of touchscreen tablet computers that popularized modern tablet computing with its sleek design, intuitive interface, and integration into the broader Apple ecosystem.
  • B. iPhone
    The iPhone is Apple's flagship smartphone line that revolutionized mobile technology by combining a touchscreen interface, internet connectivity, and a robust app ecosystem into a single device.
  • C. MacBook
    MacBook is Apple’s line of macOS-based laptop computers known for their sleek design, high-resolution displays, and tight hardware–software integration.
  • D. iBook
    The iBook was Apple’s line of consumer-oriented, portable Macintosh laptops designed for education and everyday use in the late 1990s and early 2000s.
  • E. iPad Pro 10.5-inch
    The iPad Pro 10.5‑inch is a high-performance Apple tablet featuring a 10.5-inch Retina display with ProMotion technology, Apple Pencil and Smart Keyboard support, and hardware aimed at professional and creative workflows.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd738f2cc88190a03eebf19e407411 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee061444081909ba050ea2a5e3f48 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:36 p.m.