Triple

T5021106
Position Surface form Disambiguated ID Type / Status
Subject Dominion of South Africa E112849 entity
Predicate hasTerritorialEntity P10006 FINISHED
Object Natal Province E151029 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: Natal Province | Statement: [Dominion of South Africa, hasTerritorialEntity, Natal Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natal Province
Context triple: [Dominion of South Africa, hasTerritorialEntity, Natal Province]
  • A. Natal Province chosen
    Natal Province was a former province of South Africa on the country’s eastern coast, centered on the city of Durban and known for its significant Zulu population and history.
  • B. Malanje Province
    Malanje Province is a central Angolan province known for its Kimbundu-speaking population, agricultural importance, and natural attractions such as the Kalandula Falls.
  • C. Kunene Region
    Kunene Region is a sparsely populated, northwestern region of Namibia known for its rugged landscapes, desert-adapted wildlife, and remote Atlantic coastline.
  • D. Tata Province
    Tata Province is an administrative region in southern Morocco known for its desert landscapes, oases, and Berber cultural heritage.
  • E. Limpopo Province
    Limpopo Province is South Africa’s northernmost province, known for its rich wildlife, cultural diversity, and extensive agricultural and mining activities.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77c9fc7c8190b165a5cfd5889ba8 completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69be927f4ad0819096826f6cb141c90b completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.