Triple

T8729999
Position Surface form Disambiguated ID Type / Status
Subject Borama script E207229 entity
Predicate country P26 FINISHED
Object Somalia E11293 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: Somalia | Statement: [Borama script, country, Somalia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somalia
Context triple: [Borama script, country, Somalia]
  • A. Somalia chosen
    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.
  • B. Somaliland
    Somaliland is a self-declared, internationally unrecognized republic in the Horn of Africa that operates as a de facto independent state separate from Somalia.
  • C. Puntland
    Puntland is an autonomous region in northeastern Somalia known for its relative stability, semi-independent governance, and strategic location along the Horn of Africa.
  • D. Galkayo
    Galkayo is a major city in central Somalia that serves as an important commercial and administrative hub for the surrounding region.
  • E. 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.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d26d280819085e15d4917c2b9a5 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28a0dd708190b12872883a2276c8 completed April 3, 2026, 2:40 a.m.
Created at: March 30, 2026, 6:37 p.m.