Triple

T19006532
Position Surface form Disambiguated ID Type / Status
Subject Bosaso Airport E465099 entity
Predicate locatedInCity P40 FINISHED
Object Bosaso NE NERFINISHED

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: Bosaso | Statement: [Bosaso Airport, locatedInCity, Bosaso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bosaso
Context triple: [Bosaso Airport, locatedInCity, Bosaso]
  • A. Hargeisa
    Hargeisa is the largest city and political, economic, and cultural center of the self-declared republic of Somaliland in the Horn of Africa.
  • B. Mogadishu
    Mogadishu is the capital and largest city of Somalia, serving as a major political, economic, and cultural center on the Horn of Africa.
  • C. Bossaso chosen
    Bossaso is a major port city in northeastern Somalia that serves as a key commercial and maritime hub on the Gulf of Aden.
  • D. 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.
  • E. Port of Kismayo
    The Port of Kismayo is a key maritime hub on Somalia’s southern coast, serving as a major center for regional trade, fishing, and commercial shipping in the Horn of Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a561848190bd957f248471c191 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.