Triple

T9494265
Position Surface form Disambiguated ID Type / Status
Subject Ethiopian literature E228966 entity
Predicate hasLanguage P15 FINISHED
Object Ge'ez 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: Ge'ez | Statement: [Ethiopian literature, hasLanguage, Ge'ez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ge'ez
Context triple: [Ethiopian literature, hasLanguage, Ge'ez]
  • A. 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.
  • B. Geʻez era
    The Geʻez era is an ancient Ethiopian calendar epoch used in the traditional Geʻez-based dating system, particularly within the Ethiopian and Eritrean Orthodox Christian traditions.
  • C. Gurage languages
    The Gurage languages are a group of closely related South Ethiosemitic languages spoken primarily by the Gurage people in central and southwestern Ethiopia.
  • D. Afar language
    The Afar language is a Cushitic language spoken primarily by the Afar people in Ethiopia, Eritrea, and Djibouti.
  • E. ትግርኛ
    ትግርኛ is a Semitic language primarily spoken in Eritrea and northern Ethiopia by the Tigrinya people.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ea4a04819092c7842361c6296e completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a0331e08190b42df462c50e1f44 completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:56 p.m.