Triple

T4755304
Position Surface form Disambiguated ID Type / Status
Subject Niwano Peace Prize E105571 entity
Predicate hasLanguageOfOfficialInformation P6898 FINISHED
Object Japanese 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: Japanese | Statement: [Niwano Peace Prize, hasLanguageOfOfficialInformation, Japanese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfOfficialInformation
Context triple: [Niwano Peace Prize, hasLanguageOfOfficialInformation, Japanese]
  • A. hasLanguageOfOfficialName
    Indicates that an entity’s official name is expressed in a specified language.
  • B. languageOfOfficialAnnouncements chosen
    Indicates the language used for formal or official public announcements issued by an authority.
  • C. hasNotableLanguageWithOfficialStatusIn
    Indicates that a language holds an officially recognized and notable status within a specified jurisdiction or region.
  • D. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • E. additionalOfficialLanguage
    Indicates that an entity has another language, beyond its primary one, that holds official or formally recognized status.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e9d80c819088532921a46ea1d6 completed March 20, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69bd6223defc8190823665a6592c1154 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:20 p.m.