Triple

T9003560
Position Surface form Disambiguated ID Type / Status
Subject Messages E215089 entity
Predicate hasServiceComponent P40817 FINISHED
Object iMessage E122390 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: iMessage | Statement: [Messages, hasServiceComponent, iMessage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iMessage
Context triple: [Messages, hasServiceComponent, iMessage]
  • A. iMessage chosen
    iMessage is Apple’s encrypted instant messaging service that enables text, media, and rich communication features between users of Apple devices.
  • B. FaceTime
    FaceTime is Apple’s proprietary video and audio calling service that enables real-time communication across its devices and platforms.
  • C. IMS
    IMS (IP Multimedia Subsystem) is a standardized architectural framework for delivering IP-based multimedia services over mobile and fixed networks.
  • D. IMS
    IMS is a leading biomedical research institute focused on understanding metabolic diseases such as obesity and diabetes.
  • E. IMS
    IMS is IBM's hierarchical database and transaction management system widely used on mainframe platforms for high-volume, mission-critical applications.
  • 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: hasServiceComponent
Context triple: [Messages, hasServiceComponent, iMessage]
  • A. hasServiceTo
    Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
  • B. hasServerComponent
    Indicates that an entity includes, depends on, or is associated with a particular server-side component.
  • C. hasCoreService
    Indicates that an entity provides, includes, or is associated with a primary or fundamental service that forms the central part of its offering or functionality.
  • D. hasServiceClass
    Indicates that an entity is associated with, or categorized under, a particular class or type of service.
  • E. hasSubService chosen
    Indicates that one service includes or is composed of another, more specific service as a subordinate or component part.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6959497c8190a748c78504dd2eb6 completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffd9bd544819083adf00db6a4a473 completed April 3, 2026, 5:49 p.m.
PD Predicate disambiguation batch_69cc5edd6cb48190b4fc6d6ca0418056 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:05 p.m.