Triple

T23182543
Position Surface form Disambiguated ID Type / Status
Subject Square Stand E579500 entity
Predicate designedFor P98 FINISHED
Object iPad 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: iPad | Statement: [Square Stand, designedFor, iPad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iPad
Context triple: [Square Stand, designedFor, 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. iPad Pro
    The iPad Pro is Apple's high-end tablet line designed for professional and creative work, featuring powerful processors, large high-resolution displays, and support for accessories like the Apple Pencil and Magic Keyboard.
  • C. iPad Air
    The iPad Air is a thinner, lighter-generation Apple tablet that introduced a major redesign and improved performance over previous iPad models.
  • D. 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.
  • E. MacBook
    MacBook is Apple’s line of macOS-based laptop computers known for their sleek design, high-resolution displays, and tight hardware–software integration.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f705c14819082c8580a03ed6286 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:05 p.m.