Triple

T7412873
Position Surface form Disambiguated ID Type / Status
Subject Nara E171053 entity
Predicate country P26 FINISHED
Object Eritrea E16113 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: Eritrea | Statement: [Nara, country, Eritrea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eritrea
Context triple: [Nara, country, Eritrea]
  • A. Eritrea chosen
    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.
  • B. Ethiopia
    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.
  • C. Djibouti
    Djibouti is a small Horn of Africa nation on the Red Sea and Gulf of Aden, known for its strategic maritime location, diverse ethnic makeup, and role as a hub for foreign military bases.
  • D. Central Eritrea
    Central Eritrea is an administrative region of Eritrea that includes the capital city Asmara and serves as a political and cultural hub of the country.
  • E. Afar
    Afar is a Cushitic language spoken primarily by the Afar people in the Horn of Africa, especially in Djibouti, Ethiopia, and Eritrea.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c336308190932c14cec5eec25f completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8276ec3b88190b720354787f7a735 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:11 p.m.