Triple

T15836615
Position Surface form Disambiguated ID Type / Status
Subject Somaliland forces E384000 entity
Predicate controls P760 FINISHED
Object Burao E472035 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: Burao | Statement: [Somaliland forces, controls, Burao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burao
Context triple: [Somaliland forces, controls, Burao]
  • A. Burao chosen
    Burao is a key commercial and administrative city in central Somaliland, known as a major livestock trading hub in the region.
  • B. 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.
  • C. 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.
  • D. Barawa
    Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
  • E. Dutse
    Dutse is a city in northern Nigeria that serves as the administrative and economic center of Jigawa State.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e1fcd48190bcb884f6c65db847 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03ac77081908f2b169d7d26b318 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:49 a.m.