Triple

T2152548
Position Surface form Disambiguated ID Type / Status
Subject Face ID E47811 entity
Predicate designedFor P98 FINISHED
Object iPad Pro 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 Pro | Statement: [Face ID, designedFor, iPad Pro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iPad Pro
Context triple: [Face ID, designedFor, iPad Pro]
  • A. iPad Pro with M1
    The iPad Pro with M1 is Apple's high-end tablet line powered by the same M1 chip used in Macs, offering laptop-class performance, advanced graphics, and support for professional workflows and accessories.
  • B. 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.
  • 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. MacBook Pro
    The MacBook Pro is Apple’s high-performance line of professional-grade laptop computers known for their powerful hardware, premium design, and macOS operating system.
  • E. 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.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe48ad148190a7d6cc88fd38a660 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6aee10b08190abeb6059d4d2ad0a completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:44 p.m.