Triple

T20218085
Position Surface form Disambiguated ID Type / Status
Subject Pokémon Black and White E495178 entity
Predicate notableDesignChoice P46274 FINISHED
Object focus on story-driven experience 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: focus on story-driven experience | Statement: [Pokémon Black and White, notableDesignChoice, focus on story-driven experience]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableDesignChoice
Context triple: [Pokémon Black and White, notableDesignChoice, focus on story-driven experience]
  • A. notableTechnicalFeature
    Indicates that an entity possesses a significant or distinguishing technical characteristic or capability.
  • B. notableStyleFeature chosen
    Indicates that an entity possesses a distinctive stylistic characteristic or design element that is especially noteworthy or defining.
  • C. designedFeature
    Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
  • D. hasDesignConsideration
    Indicates that one entity takes another entity into account as a factor, constraint, or requirement in its design or planning.
  • E. hasDesignTradeoff
    Indicates that one design choice involves compromises or conflicting benefits and drawbacks relative to other possible designs.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66edaeeb08190bb74bd4a10aceca2 completed April 20, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69e55b18609481909ab28bc8750a642f completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:39 p.m.