Triple

T20003612
Position Surface form Disambiguated ID Type / Status
Subject WKInterfaceGroup E494394 entity
Predicate canContain P1433 FINISHED
Object WKInterfaceImage 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: WKInterfaceImage | Statement: [WKInterfaceGroup, canContain, WKInterfaceImage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WKInterfaceImage
Context triple: [WKInterfaceGroup, canContain, WKInterfaceImage]
  • A. WKInterfaceImage chosen
    WKInterfaceImage is a WatchKit user interface class used to display and manage images on Apple Watch app interfaces.
  • B. WKInterfaceObject
    WKInterfaceObject is a fundamental WatchKit class that represents and manages user interface elements in Apple Watch apps.
  • C. WKInterfaceLabel
    WKInterfaceLabel is a WatchKit user interface class used to display and update text on an Apple Watch app’s interface.
  • D. WKInterfaceMovie
    WKInterfaceMovie is a WatchKit interface class used to display and control movie playback within an Apple Watch app’s user interface.
  • E. WKInterfaceMap
    WKInterfaceMap is a WatchKit interface object that lets developers embed and control interactive map content within Apple Watch apps.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a3ad148190918f9dce755fe470 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:33 p.m.