Triple

T660351
Position Surface form Disambiguated ID Type / Status
Subject Afroasiatic languages E11738 entity
Predicate includesLanguage P2177 FINISHED
Object Geʽez E44574 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: Geʽez | Statement: [Afroasiatic languages, includesLanguage, Geʽez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geʽez
Context triple: [Afroasiatic languages, includesLanguage, Geʽez]
  • A. Mingrelians
    Mingrelians are a Kartvelian ethnic group from western Georgia, primarily inhabiting the Samegrelo region and speaking the Mingrelian (Megrelian) language.
  • B. Geʽez script
    The Geʽez script is an ancient abugida writing system originating in the Horn of Africa, primarily used for the Geʽez language and later adapted for several modern Ethiopian and Eritrean languages.
  • C. Ossetians
    Ossetians are an Iranian-speaking ethnic group native to the central Caucasus, primarily inhabiting the region of Ossetia divided between Russia and Georgia.
  • D. Ge'ez chosen
    Ge'ez is an ancient Semitic language of Ethiopia and Eritrea, best known today as the classical and liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
  • E. Derbion
    Derbion is a major retail and leisure shopping centre located in the city centre of Derby, England.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa83c6081909fb786d1773fa88c completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3963c588190b7116f3f7aad2687 completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.