Triple

T35387375
Position Surface form Disambiguated ID Type / Status
Subject Sarasaland E1022824 entity
Predicate gameWorldStructure P48183 FINISHED
Object four kingdoms 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: four kingdoms | Statement: [Sarasaland, gameWorldStructure, four kingdoms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gameWorldStructure
Context triple: [Sarasaland, gameWorldStructure, four kingdoms]
  • A. hasWorldStructure chosen
    Indicates that an entity possesses or is characterized by a particular overall world-level organization, framework, or structural configuration.
  • B. worldType
    Indicates the classification or category of world or environment that an entity is associated with.
  • C. gameElement
    Indicates that one entity functions as a component, feature, or part within the structure or mechanics of a game.
  • D. spawnStructure
    Indicates that an entity causes a new structure to be created or instantiated in the environment.
  • E. geographicalStructure
    Indicates a relationship where one entity is a physical geographic feature or formation that characterizes or shapes the spatial nature of another entity or area.
  • 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_69f76df34ba48190bd80f0814cdcd540 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f794f87c548190bfef8c623b5cb165 completed May 3, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69f7910770108190bdd39ddb5d304f54 completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4:03 p.m.