Triple

T36280880
Position Surface form Disambiguated ID Type / Status
Subject Canada (fictional setting: Toronto) E892936 entity
Predicate hasPrimaryLanguageInWorldbuilding P70771 FINISHED
Object English (fictional context) 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: English (fictional context) | Statement: [Canada (fictional setting: Toronto), hasPrimaryLanguageInWorldbuilding, English (fictional context)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryLanguageInWorldbuilding
Context triple: [Canada (fictional setting: Toronto), hasPrimaryLanguageInWorldbuilding, English (fictional context)]
  • A. hasPrimaryLanguage1
    Indicates that an entity’s main or most commonly used language is the specified language.
  • B. hasLanguageInUniverse chosen
    Indicates that a particular language exists or is used within a specified fictional or conceptual universe.
  • C. isWorldLanguage
    Indicates that a language is widely used across multiple countries or regions and serves as a common means of communication beyond its original native community.
  • D. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • E. hasPrimaryVernacularLanguageFamily
    Indicates that an entity’s main vernacular language belongs to a specified language family.
  • 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_69f76e4955c08190b8cfddca34fc0242 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0a54cc8190868c1bfa1590d1a6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:09 p.m.