Triple

T15382793
Position Surface form Disambiguated ID Type / Status
Subject Nintendogs E367843 entity
Predicate targetPlatformFeature P118536 FINISHED
Object dual screens 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: dual screens | Statement: [Nintendogs, targetPlatformFeature, dual screens]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetPlatformFeature
Context triple: [Nintendogs, targetPlatformFeature, dual screens]
  • A. targetPlatformGeneration
    Indicates the generation or version of the platform that an action, resource, or entity is specifically intended to run on or be compatible with.
  • B. hasTargetPlatform
    Indicates that something is intended to run on, be compatible with, or be deployed to a specified platform.
  • C. supportedPlatform
    Indicates that one entity (such as a system, application, or service) is compatible with and can operate on a particular platform.
  • D. hasPlatformType
    Indicates that an entity is associated with or characterized by a specific type or category of platform.
  • E. targetFeature
    Indicates that one entity is the specific feature, attribute, or characteristic that another entity is directed toward, focused on, or intended to affect.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7397188190bde42b897ab4b5b4 completed April 16, 2026, 1:42 a.m.
PD Predicate disambiguation batch_69ded27742a881909cd73cc5c7d062fd completed April 14, 2026, 11:49 p.m.
PDg Predicate description generation batch_69ded57005608190886cd01f640dfedb completed April 15, 2026, 12:01 a.m.
Created at: April 10, 2026, 3:19 a.m.