Triple

T375752
Position Surface form Disambiguated ID Type / Status
Subject World Food Programme E8368 entity
Predicate officialLanguage P236 FINISHED
Object English 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 | Statement: [World Food Programme, officialLanguage, English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English
Context triple: [World Food Programme, officialLanguage, English]
  • 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. 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.
  • C. American English
    American English is the set of English language varieties spoken in the United States, characterized by distinctive pronunciation, vocabulary, and grammar compared to other forms of English.
  • D. British English
    British English is the variety of the English language spoken and written in the United Kingdom, characterized by its own standard spelling, vocabulary, and pronunciation conventions.
  • E. 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.
  • 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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec169a848190a577aa093c878839 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3f4dbf49081908ccd464668483b77 completed March 1, 2026, 8:12 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.