Triple

T13951056
Position Surface form Disambiguated ID Type / Status
Subject Nokia N70 E335524 entity
Predicate gsmBands P68289 FINISHED
Object 900 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: 900 | Statement: [Nokia N70, gsmBands, 900]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gsmBands
Context triple: [Nokia N70, gsmBands, 900]
  • A. frequencyBandSupported chosen
    Indicates that an entity supports operation or functionality within a specified frequency band.
  • B. supportsGSM
    Indicates that one entity provides compatibility with or operational support for GSM (Global System for Mobile communications) technology for another entity.
  • C. supportsGPRS
    Indicates that one entity provides or is compatible with GPRS (General Packet Radio Service) functionality for another entity.
  • D. hasNumberOfFMChannels
    Indicates the relationship that specifies how many FM (frequency modulation) channels are associated with or supported by an entity.
  • E. telecomRegime
    Indicates a regulatory or governance framework that defines how telecommunications services are organized, controlled, and operated within a given context.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e131c608190b4ffdbada24a3208 completed April 14, 2026, 12:07 p.m.
PD Predicate disambiguation batch_69de05a3ccf88190b45c742db483fa08 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:17 p.m.