Triple

T14786494
Position Surface form Disambiguated ID Type / Status
Subject Ethiopic Extended E347539 entity
Predicate script P505 FINISHED
Object Ethiopic E1121475 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: Ethiopic | Statement: [Ethiopic Extended, script, Ethiopic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethiopic
Context triple: [Ethiopic Extended, script, 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 (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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64f349fc8190b049542fef963b58 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:31 a.m.