Triple

T8710886
Position Surface form Disambiguated ID Type / Status
Subject Pagumen E206772 entity
Predicate languageOfName P15 FINISHED
Object Geʻez E205342 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: Geʻez | Statement: [Pagumen, languageOfName, Geʻez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geʻez
Context triple: [Pagumen, languageOfName, Geʻez]
  • A. Ge'ez
    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.
  • B. ትግርኛ
    ትግርኛ is a Semitic language primarily spoken in Eritrea and northern Ethiopia by the Tigrinya people.
  • C. Geʽez chosen
    Geʽez is an ancient Semitic language of Ethiopia that served as the liturgical and classical language of the Ethiopian Orthodox Church and the ancestor of several modern Ethiopian and Eritrean languages.
  • D. Tigrinya
    Tigrinya is a Semitic language spoken primarily in Eritrea and northern Ethiopia, serving as a major language of communication, education, and media in the region.
  • E. Afar language
    The Afar language is a Cushitic language spoken primarily by the Afar people in Ethiopia, Eritrea, and Djibouti.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c3189f88190bb9bb77ba9d28d60 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28c174008190bc2d43ca613e9a9e completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:35 p.m.