Triple

T11657895
Position Surface form Disambiguated ID Type / Status
Subject Nokia X3-02 E277054 entity
Predicate supportsMessagingType P83813 FINISHED
Object SMS LITERAL 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: SMS | Statement: [Nokia X3-02, supportsMessagingType, SMS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsMessagingType
Context triple: [Nokia X3-02, supportsMessagingType, SMS]
  • A. supportsType
    Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
  • B. supportsSMS chosen
    Indicates that one entity provides the capability for another entity to send, receive, or otherwise use SMS (Short Message Service) messaging.
  • C. hasMessenger
    Indicates that one entity uses or is associated with another entity as a messenger or intermediary for communication.
  • D. supportsModelType
    Indicates that an entity is compatible with, or can operate using, a specified model type.
  • E. supportedProtocol
    Indicates that one entity is compatible with, implements, or can operate using a specified communication or interaction protocol.
  • F. None of above.

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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d0331481909682b2e504e4c9a0 completed April 10, 2026, 7:16 a.m.
PD Predicate disambiguation batch_69d85ddc780481909a3bc63832fe2bd2 completed April 10, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:39 p.m.