Triple

T11860809
Position Surface form Disambiguated ID Type / Status
Subject Nokia MixRadio E282151 entity
Predicate supportedDevice P5090 FINISHED
Object iPhone E10318 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: iPhone | Statement: [Nokia MixRadio, supportedDevice, iPhone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iPhone
Context triple: [Nokia MixRadio, supportedDevice, 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.

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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69a099c8190a674db64c50eca5a completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281745ca88190968e1f674d0e483c completed April 29, 2026, 10:08 p.m.
Created at: April 8, 2026, 9:43 p.m.