Triple

T10396
Position Surface form Disambiguated ID Type / Status
Subject English E211 entity
Predicate usedAsSecondLanguageIn P237 FINISHED
Object many countries worldwide 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: many countries worldwide | Statement: [English, usedAsSecondLanguageIn, many countries worldwide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAsSecondLanguageIn
Context triple: [English, usedAsSecondLanguageIn, many countries worldwide]
  • A. nativeLanguage
    Indicates the language that a person or entity originally learned and uses as their primary or first language.
  • B. primaryLanguageOfInstruction
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • C. 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.
  • D. deFactoLanguage chosen
    Indicates that a language is used in practice as the primary or common language in a context, even if it has no official legal status there.
  • E. hasSignificantLanguage
    Indicates that an entity possesses a language that plays an important or primary role in its communication, identity, or functioning.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a242cd8fb481909562f114f4ce7700 completed Feb. 28, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69a23fe6b0bc8190bcce9b74f2c5fb08 completed Feb. 28, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.