Triple

T12969606
Position Surface form Disambiguated ID Type / Status
Subject Nokia E70 E321357 entity
Predicate supportsVPN P107744 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 E70, supportsVPN, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsVPN
Context triple: [Nokia E70, supportsVPN, true]
  • A. supportsTethering
    Indicates that one entity enables or allows another entity to share its network connection with additional devices (i.e., provides tethering capability).
  • B. supportsNetworkingModel
    Indicates that one entity provides compatibility with, or implementation of, a specified networking model for another entity.
  • C. supportsVoIP
    Indicates that one entity provides the capability for Voice over IP (VoIP) communication to or for another entity.
  • D. supportsRoamingWith
    Indicates that one entity enables or is compatible with another entity’s ability to operate or be accessed while roaming across different networks or locations.
  • E. supportsVendor
    Indicates that one entity provides assistance, resources, or endorsement to a vendor in carrying out its activities or services.
  • F. None of above. chosen

Provenance (4 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69d97dba57988190b786ffed55687a72 completed April 10, 2026, 10:46 p.m.
PDg Predicate description generation batch_69d97e5811f481908178fac6d2e0efcd completed April 10, 2026, 10:48 p.m.
Created at: April 9, 2026, 8:34 p.m.