Triple

T34871126
Position Surface form Disambiguated ID Type / Status
Subject British Empire in Kenya region E1005753 entity
Predicate borderedColony P200247 FINISHED
Object Uganda Protectorate NE NERFINISHED

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: Uganda Protectorate | Statement: [British Empire in Kenya region, borderedColony, Uganda Protectorate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderedColony
Context triple: [British Empire in Kenya region, borderedColony, Uganda Protectorate]
  • A. colonyOf
    Indicates that one entity is a colony belonging to, founded by, or politically dependent on another entity.
  • B. endedAsColony
    Indicates that an entity ultimately ceased to exist as an independent polity and finished its historical trajectory under colonial rule by another power.
  • C. Colony
    Indicates that one entity is a colony that is politically, economically, or administratively dependent on another controlling entity.
  • D. representedColony
    Indicates that an entity acted as an official representative or delegate for a particular colony in some context or event.
  • E. wasColonyOf
    Indicates that one entity functioned as a colony under the political control or administration of another entity.
  • F. None of above. chosen

Provenance (4 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_69f76dbde1c08190a24e7f9beb564c8d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff7c96e6dc8190b89554480ebcea39 completed May 9, 2026, 6:27 p.m.
PD Predicate disambiguation batch_69ff7c2381748190ad9a2176e0e478cd completed May 9, 2026, 6:25 p.m.
PDg Predicate description generation batch_69ff7c96036c8190bfae5ec9b5a1965f completed May 9, 2026, 6:27 p.m.
Created at: May 3, 2026, 4 p.m.