Triple

T14511491
Position Surface form Disambiguated ID Type / Status
Subject Banaadir Regional Administration E340406 entity
Predicate administersRegion P61858 FINISHED
Object Banaadir E67895 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: Banaadir | Statement: [Banaadir Regional Administration, administersRegion, Banaadir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banaadir
Context triple: [Banaadir Regional Administration, administersRegion, Banaadir]
  • A. Banaadir chosen
    Banaadir is a coastal region in southeastern Somalia that encompasses the capital city, Mogadishu, and serves as a key political and economic center of the country.
  • B. Ras Maska
    Ras Maska is a village in Lebanon’s Koura District, known for its olive groves and location near the coastal city of Tripoli.
  • C. Ras Alula Engida
    Ras Alula Engida was a prominent 19th-century Ethiopian general and statesman renowned for his military leadership in defending Ethiopia’s sovereignty against foreign incursions.
  • D. Anseba
    Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
  • E. Dahlak Kebir
    Dahlak Kebir is the largest island of Eritrea’s Dahlak Archipelago in the Red Sea, known for its rich marine life, coral reefs, and historical significance as a trading and fishing 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6c6054819086b4c0ce1d83fdc5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da48b2c8190a906965a7ebcb607 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.