Triple

T14521846
Position Surface form Disambiguated ID Type / Status
Subject Somali Airlines E340670 entity
Predicate servedCity P3936 FINISHED
Object Kismayo E349483 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: Kismayo | Statement: [Somali Airlines, servedCity, Kismayo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kismayo
Context triple: [Somali Airlines, servedCity, Kismayo]
  • A. Kismayo chosen
    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.
  • B. Burao
    Burao is a key commercial and administrative city in central Somaliland, known as a major livestock trading hub in the region.
  • C. Arafo
    Arafo is a small municipality on the island of Tenerife in Spain’s Canary Islands, known for its rural landscapes and traditional Canarian character.
  • D. Hawiye
    The Hawiye are one of the largest and most influential Somali clans, historically centered in central and southern Somalia and prominent in the country’s politics, economy, and culture.
  • E. Lamu
    Lamu is a historic Swahili town on Kenya’s Indian Ocean coast, renowned for its well-preserved stone architecture, rich Islamic and Swahili cultural heritage, and status as a UNESCO World Heritage Site.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a4da6908190a3e2cae16f6240d9 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.