Triple

T12670333
Position Surface form Disambiguated ID Type / Status
Subject Iman E302659 entity
Predicate placeOfBirth P1 FINISHED
Object Mogadishu, Somalia 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, Somalia | Statement: [Iman, placeOfBirth, Mogadishu, Somalia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogadishu, Somalia
Context triple: [Iman, placeOfBirth, Mogadishu, Somalia]
  • 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. Kismayo
    Kismayo is a key port city in southern Somalia, strategically located on the Indian Ocean and serving as an important regional commercial and maritime hub.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688e101481909bc3b9e13ed84632 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.