Triple

T12422097
Position Surface form Disambiguated ID Type / Status
Subject Nokia E50 E296799 entity
Predicate supportsOfficeDocuments P86718 FINISHED
Object true 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: true | Statement: [Nokia E50, supportsOfficeDocuments, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsOfficeDocuments
Context triple: [Nokia E50, supportsOfficeDocuments, true]
  • A. supportsOffice
    Indicates that one entity provides assistance, resources, or endorsement to an office or officeholder in performing its functions or maintaining its operations.
  • B. requiresOffice
    Indicates that performing or fulfilling the related activity, role, or condition depends on being in or having access to a physical office location.
  • C. hasOfficeSoftware chosen
    Indicates that an entity possesses, includes, or is equipped with office productivity software.
  • D. hasOfficeComponent
    Indicates that something includes, contains, or is composed of an office-related part or element.
  • E. supportsDocument
    Indicates that one entity provides compatibility or functionality for handling, processing, or using a particular document or document type.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e1888b48190bd750f839a26e99e completed April 10, 2026, 7:23 p.m.
PD Predicate disambiguation batch_69d94d354b488190adc83fb4f2770dd5 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:55 p.m.