Triple

T11657524
Position Surface form Disambiguated ID Type / Status
Subject Nokia 7650 E277047 entity
Predicate dataStandards P83511 FINISHED
Object GPRS 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: GPRS | Statement: [Nokia 7650, dataStandards, GPRS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataStandards
Context triple: [Nokia 7650, dataStandards, GPRS]
  • A. dataStandard chosen
    Indicates that there is a defined, agreed-upon specification or convention governing how the related data is structured, formatted, or exchanged.
  • B. standardsType
    Indicates the classification or category of standards that apply to or are associated with an entity or activity.
  • C. reportingStandard
    Indicates that one entity uses, follows, or is governed by a particular reporting standard defined by another entity.
  • D. standardizationStatus
    Indicates the current stage or condition of an entity in a formal standardization process (e.g., proposed, under review, approved, deprecated).
  • E. definitionOfStandard
    Indicates that one entity specifies or provides the formal definition or criteria that constitute a particular standard 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_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.