Triple

T2654293
Position Surface form Disambiguated ID Type / Status
Subject Northeast Africa E53971 entity
Predicate hasMajorCity P316 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: [Northeast Africa, hasMajorCity, Mogadishu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogadishu
Context triple: [Northeast Africa, hasMajorCity, 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. 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.
  • C. Bossaso
    Bossaso is a major port city in northeastern Somalia that serves as a key commercial and maritime hub on the Gulf of Aden.
  • D. Nouakchott
    Nouakchott is the capital and largest city of Mauritania, located on the Atlantic coast of Northwest Africa.
  • E. Maiduguri
    Maiduguri is a major city in northeastern Nigeria that serves as the capital of Borno State and a key economic and administrative center in the region.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd932a35881909568839589f12062 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d0dbd08190a317dfe1844840c5 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.