Triple

T12889126
Position Surface form Disambiguated ID Type / Status
Subject Nokia E61 E308310 entity
Predicate hasMessagingCapabilities P43020 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 E61, hasMessagingCapabilities, SMS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMessagingCapabilities
Context triple: [Nokia E61, hasMessagingCapabilities, SMS]
  • A. hasMessenger
    Indicates that one entity uses or is associated with another entity as a messenger or intermediary for communication.
  • B. communicationCapability chosen
    Indicates that one entity has the ability or means to communicate with another entity through some channel or modality.
  • C. supportsNokiaMessaging
    Indicates that an entity provides compatibility with or functionality for Nokia Messaging services.
  • D. hasMessageSender
    Indicates that one entity is the sender or originator of a given message.
  • E. canSend
    Indicates that one entity has the ability or permission to send something (such as a message, item, or data) to another entity.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714581988190afc720ffd7797860 completed April 10, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69d96fa776648190b9b5c30722ea50b6 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:39 p.m.