Triple

T3992867
Position Surface form Disambiguated ID Type / Status
Subject Berdan rifle E87031 entity
Predicate alsoUsedBy P10918 FINISHED
Object Ethiopia E7746 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: Ethiopia | Statement: [Berdan rifle, alsoUsedBy, Ethiopia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethiopia
Context triple: [Berdan rifle, alsoUsedBy, Ethiopia]
  • A. Ethiopia chosen
    Ethiopia is a landlocked country in the Horn of Africa known for its ancient civilizations, unique cultural heritage, and status as one of the few African nations to largely resist long-term European colonization.
  • B. Eritrea
    Eritrea is a country in the Horn of Africa known for its Red Sea coastline, diverse ethnic groups, and complex political history since gaining independence from Ethiopia in 1993.
  • C. Hirshabelle
    Hirshabelle is a federal member state in central Somalia formed from parts of the Hiiraan and Middle Shabelle regions.
  • D. Afar
    Afar is a Cushitic language spoken primarily by the Afar people in the Horn of Africa, especially in Djibouti, Ethiopia, and Eritrea.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa1c476c819094063f654aa015c4 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55619cb548190ac2553f23de9bfed completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:33 p.m.