Triple

T5016920
Position Surface form Disambiguated ID Type / Status
Subject Health app E112758 entity
Predicate runsOnDevice P12178 FINISHED
Object iPhone E10318 NE FINISHED

How this triple was built (3 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: iPhone | Statement: [Health app, runsOnDevice, iPhone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iPhone
Context triple: [Health app, runsOnDevice, iPhone]
  • A. iPhone chosen
    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.
  • B. iOS
    iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
  • C. Ios
    Ios is a Greek island in the Cyclades known for its picturesque whitewashed villages, sandy beaches, and vibrant nightlife.
  • D. iPad
    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.
  • E. IOS
    IOS is the abbreviation for the International Officer School, a U.S. Air Force education program that trains and develops international military officers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: runsOnDevice
Context triple: [Health app, runsOnDevice, iPhone]
  • A. runsOnHardware chosen
    Indicates that a system, software, or process operates using or is executed on a specified hardware platform.
  • B. executionDevice
    Indicates that an entity serves as the instrument, tool, or device used to carry out or execute a particular action or process.
  • C. canRunOn
    Indicates that one entity is capable of operating, executing, or functioning on another entity (such as a platform, system, or environment).
  • D. requiresDevice
    Indicates that performing the specified action or relationship is contingent on the presence or use of a particular device.
  • E. usesDevice
    Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
  • F. None of above.

Provenance (4 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd734037a88190a950db814412a023 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee061444081909ba050ea2a5e3f48 completed March 21, 2026, 6:16 p.m.
PD Predicate disambiguation batch_69bd714ecfe08190b5830cfc1c74fa17 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:35 p.m.