Triple

T8364979
Position Surface form Disambiguated ID Type / Status
Subject Dorra E197104 entity
Predicate country P26 FINISHED
Object Djibouti E13472 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: Djibouti | Statement: [Dorra, country, Djibouti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Djibouti
Context triple: [Dorra, country, Djibouti]
  • A. Djibouti chosen
    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.
  • 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. Mauritania
    Mauritania is a Northwest African country on the Atlantic coast, known for its vast Saharan landscapes, mixed Arab-Berber and Sub-Saharan cultures, and significant iron ore resources.
  • D. Comoros
    Comoros is an island nation in the Indian Ocean off the eastern coast of Africa, known for its diverse cultural heritage and history as a former French colony.
  • E. Somalia
    Somalia is a country in the Horn of Africa known for its long coastline along the Indian Ocean, predominantly arid climate, and complex modern history marked by civil conflict and efforts at state reconstruction.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808bc22481909ce2f8b48cc95806 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6b591d081909e1fb450508197f2 completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 6 p.m.