Triple

T2566107
Position Surface form Disambiguated ID Type / Status
Subject Kikongo E57354 entity
Predicate region P40 FINISHED
Object Cabinda E89703 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: Cabinda | Statement: [Kikongo, region, Cabinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabinda
Context triple: [Kikongo, region, Cabinda]
  • A. Cabinda chosen
    Cabinda is a small, oil-rich province on the Atlantic coast of Central Africa that is geographically separated from the rest of Angola by a strip of territory belonging to the Democratic Republic of the Congo.
  • B. Angola
    Angola is a resource-rich country on Africa’s southwest coast, known for its oil and diamond industries and its history of a long civil war following independence.
  • C. Moxico Province
    Moxico Province is the largest and one of the most war-affected provinces in eastern Angola, known for its strategic role and heavy fighting during the Angolan Civil War.
  • D. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • E. Dutch Angola
    Dutch Angola was a short-lived 17th-century Dutch colonial foothold on the west coast of Central Africa, centered on Luanda and primarily focused on the Atlantic slave trade.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd35ef22c8190966612cc75f69eca completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6562d6f08190a2be483b06a789cc completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.