Triple

T2063090
Position Surface form Disambiguated ID Type / Status
Subject New Zealand European E45834 entity
Predicate officialTermLanguage P35123 FINISHED
Object English 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 | Statement: [New Zealand European, officialTermLanguage, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialTermLanguage
Context triple: [New Zealand European, officialTermLanguage, English]
  • A. 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.
  • B. officialLanguageScope
    Indicates the scope or extent (such as region, institution, or context) within which a language holds official status.
  • C. standardLanguageOf
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • D. officialLanguageOfTitle
    Indicates that a specified language is the officially designated language associated with a particular title or position.
  • E. officialLanguageUse
    Indicates that a particular language is formally designated and used by an authority (such as a government or institution) for official communication, documentation, or functions.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9d3a92081909416c1d087876e99 completed March 7, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69abb7aee9b48190999620176e3a6ee2 completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb87b9fc08190a748c278ef2d7dc7 completed March 7, 2026, 5:32 a.m.
Created at: March 4, 2026, 7:40 p.m.