Triple

T14453633
Position Surface form Disambiguated ID Type / Status
Subject Samsung Galaxy Pocket E358397 entity
Predicate hasCellularConnectivity P46630 FINISHED
Object yes 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: yes | Statement: [Samsung Galaxy Pocket, hasCellularConnectivity, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCellularConnectivity
Context triple: [Samsung Galaxy Pocket, hasCellularConnectivity, yes]
  • A. hasCellularComponent
    Indicates that an entity possesses, includes, or is associated with a specific cellular component as part of its structure or organization.
  • B. hasCellularModel
    Indicates that one entity serves as a cellular (cell-based) model or system used to study, represent, or simulate the biological properties or behavior of another entity.
  • C. hasCellService chosen
    Indicates that a location, device, or area is within range of a cellular network and can access mobile phone or data services.
  • D. connectivityMode
    Indicates how two or more entities are linked or able to communicate with each other, such as the type or method of connection used between them.
  • E. cellularOptions
    Indicates that one entity specifies or provides available cellular network or mobile connectivity options for 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69de5c3a02fc819097373f97a260cdeb completed April 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 1:19 a.m.