Triple

T3252572
Position Surface form Disambiguated ID Type / Status
Subject Geʽez E68214 entity
Predicate hasAlternativeName P39 FINISHED
Object Geʾez 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: Geʾez | Statement: [Geʽez, hasAlternativeName, Geʾez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geʾez
Context triple: [Geʽez, hasAlternativeName, Geʾez]
  • 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. 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.
  • C. ትግርኛ
    ትግርኛ is a Semitic language primarily spoken in Eritrea and northern Ethiopia by the Tigrinya people.
  • D. 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.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf440bb88190a2450405afae7f1f completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ec4375881908d7f22ef4a80b60c completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:09 p.m.