Triple

T19202100
Position Surface form Disambiguated ID Type / Status
Subject Matenadaran E470132 entity
Predicate languageOfCollection P35318 FINISHED
Object Ethiopic NE NERFINISHED

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: Ethiopic | Statement: [Matenadaran, languageOfCollection, Ethiopic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethiopic
Context triple: [Matenadaran, languageOfCollection, Ethiopic]
  • A. Ethiopic chosen
    Ethiopic is a writing system used primarily for languages of Ethiopia and Eritrea, such as Amharic, Tigrinya, and Geʽez.
  • B. Ethiopian
    Ethiopian refers to a person from Ethiopia or of Ethiopian descent, associated with the country's distinct cultures, languages, and history in the Horn of Africa.
  • C. ETHIOPIAN
    ETHIOPIAN is the radio callsign used by Ethiopian Airlines for its flight operations and air traffic communications.
  • D. Eritrean
    Eritrean refers to someone or something originating from Eritrea, a country in the Horn of Africa known for its diverse ethnic groups and Red Sea coastline.
  • E. South Ethiopic
    South Ethiopic is a subgroup of the Ethiopic (South Semitic) languages of Ethiopia, encompassing several closely related, historically and geographically linked Semitic languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f9991ba48190ab92805daec3877b completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 12:07 p.m.