Triple

T34469987
Position Surface form Disambiguated ID Type / Status
Subject Public Mobile E884879 entity
Predicate SIMCardType P110576 FINISHED
Object 3-in-1 SIM 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: 3-in-1 SIM | Statement: [Public Mobile, SIMCardType, 3-in-1 SIM]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: SIMCardType
Context triple: [Public Mobile, SIMCardType, 3-in-1 SIM]
  • A. hasSIMType chosen
    Indicates that an entity uses or is associated with a specific type or category of SIM (Subscriber Identity Module).
  • B. carrierType
    Indicates the type or category of carrier involved in the relationship or action (e.g., the kind of entity that carries or transports something).
  • C. cardType
    Indicates the classification or category assigned to a card within a given system or context.
  • D. subscriberIdentityModule
    Indicates that one entity functions as the subscriber identity module (SIM) associated with, used by, or installed in another entity.
  • E. hasSIMConfiguration
    Indicates that an entity is associated with or assigned a specific SIM card configuration or setup.
  • 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_69f349c880408190ade571c471ab154a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7199dda688190a79d5e73b285f132 completed May 3, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69f71824431081908d9685d2462ea242 completed May 3, 2026, 9:40 a.m.
Created at: May 1, 2026, 2:01 a.m.