Triple

T15470037
Position Surface form Disambiguated ID Type / Status
Subject Paper Mario: Sticker Star E372133 entity
Predicate regionExclusiveFeatures P118359 FINISHED
Object StreetPass support 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: StreetPass support | Statement: [Paper Mario: Sticker Star, regionExclusiveFeatures, StreetPass support]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionExclusiveFeatures
Context triple: [Paper Mario: Sticker Star, regionExclusiveFeatures, StreetPass support]
  • A. includedSpecialRegionType
    Indicates that a special or designated region is included within another region or context, specifying the type of that included special region.
  • B. regionSpecialization
    Indicates that a region is designated or recognized as being particularly focused on, adapted to, or specialized in a specific function, activity, or domain.
  • C. carrierExclusiveVariant
    Indicates that a variant is available only through a specific carrier and not through others.
  • D. platformExclusiveTo
    Indicates that something is available or restricted to a single specific platform and not offered on others.
  • E. exclusiveTo
    Indicates that something is restricted or limited to a specific entity, group, or context and not shared with others.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6b49788190b270fdfe92646842 completed April 16, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69ded284bd008190b31c53b4f1cebadd completed April 14, 2026, 11:49 p.m.
PDg Predicate description generation batch_69ded5deee00819099fa3e43313312e1 completed April 15, 2026, 12:03 a.m.
Created at: April 10, 2026, 3:33 a.m.