Triple

T542987
Position Surface form Disambiguated ID Type / Status
Subject Kuna language E12670 entity
Predicate hasLoanwordsFrom P506 FINISHED
Object English language E211 NE 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 language | Statement: [Kuna language, hasLoanwordsFrom, English language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English language
Context triple: [Kuna language, hasLoanwordsFrom, English language]
  • A. English chosen
    English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
  • B. Oxford English
    Oxford English is a prestigious accent of British English traditionally associated with educated speakers and often used as a standard in broadcasting and formal contexts.
  • C. English Language Arts
    English Language Arts is an academic subject area focused on developing students’ skills in reading, writing, speaking, listening, and language analysis in English.
  • D. English American
    English American refers to a U.S. resident or citizen of English ancestry, whose heritage traces back to settlers and immigrants from England.
  • E. Standard English
    Standard English is the widely accepted, codified form of the English language used in formal writing, education, and public communication across English-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4986250508190ac91cfdf7d57073d completed March 1, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5f6dfc8190a6c97a81aa8e82a3 completed March 1, 2026, 11:31 p.m.
Created at: March 1, 2026, 7:32 p.m.