Triple

T14267998
Position Surface form Disambiguated ID Type / Status
Subject Ali Mahdi Muhammad E353700 entity
Predicate residence P75 FINISHED
Object Mogadishu E12694 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: Mogadishu | Statement: [Ali Mahdi Muhammad, residence, Mogadishu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogadishu
Context triple: [Ali Mahdi Muhammad, residence, Mogadishu]
  • A. Mogadishu chosen
    Mogadishu is the capital and largest city of Somalia, serving as a major political, economic, and cultural center on the Horn of Africa.
  • B. Hargeisa
    Hargeisa is the largest city and political, economic, and cultural center of the self-declared republic of Somaliland in the Horn of Africa.
  • C. Port of Mogadishu
    The Port of Mogadishu is Somalia’s principal seaport and a key hub for the country’s maritime trade on the Indian Ocean.
  • D. Burao
    Burao is a key commercial and administrative city in central Somaliland, known as a major livestock trading hub in the region.
  • E. Djibouti City
    Djibouti City is the largest urban center and main economic, political, and cultural hub of the Republic of Djibouti, located on the Gulf of Tadjoura in the Horn of Africa.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6358c2288190ac1fd26e688a605d completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326551b08190ae8fe220a6422339 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.