Triple

T10043156
Position Surface form Disambiguated ID Type / Status
Subject Cushitic E205344 entity
Predicate majorLanguage P207 FINISHED
Object Afar E50164 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: Afar | Statement: [Cushitic, majorLanguage, Afar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afar
Context triple: [Cushitic, majorLanguage, Afar]
  • A. Afar chosen
    Afar is a Cushitic language spoken primarily by the Afar people in the Horn of Africa, especially in Djibouti, Ethiopia, and Eritrea.
  • B. Afar Region
    The Afar Region is a northeastern Ethiopian state inhabited mainly by the Afar people, known for its arid lowlands, pastoralist culture, and proximity to the geologically active Afar Depression.
  • C. Hirshabelle
    Hirshabelle is a federal member state in central Somalia formed from parts of the Hiiraan and Middle Shabelle regions.
  • D. Begarawiya
    Begarawiya is an archaeological site in Sudan renowned for its ancient Nubian pyramids and royal necropolis of the Kingdom of Meroë.
  • E. Tigré
    Tigré is a Semitic language spoken primarily by the Tigre people in Eritrea and parts of Sudan.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf60a2208190846e57b5f5649307 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a35fbc081908ec7d359ec3332f2 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:55 p.m.