Triple

T10213917
Position Surface form Disambiguated ID Type / Status
Subject Genius Bar E242395 entity
Predicate servesProduct P92762 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: [Genius Bar, servesProduct, iPhone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iPhone
Context triple: [Genius Bar, servesProduct, 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: servesProduct
Context triple: [Genius Bar, servesProduct, iPhone]
  • A. servesType
    Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
  • B. servesWith
    Indicates that one entity is customarily presented, used, or consumed together with another as a complementary accompaniment.
  • C. servesDish
    Indicates that one entity prepares and presents a specific dish as food for another entity.
  • D. alsoServes
    Indicates that an entity, in addition to its primary role or function, provides service or support to another specified entity or group.
  • E. servesOn
    Indicates that one entity performs duties, functions, or holds a role as a member within another entity, such as a group, body, or organization.
  • F. None of above. chosen

Provenance (5 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa24efc081909714d98943543283 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7f6730081908b941eaeb6c00993 completed April 8, 2026, 7:09 p.m.
PD Predicate disambiguation batch_69d39559e5ac8190b88eca75956b7e6a completed April 6, 2026, 11:13 a.m.
PDg Predicate description generation batch_69d3aa208c248190a0fb186b106389f3 completed April 6, 2026, 12:42 p.m.
Created at: April 6, 2026, 11:04 a.m.