Triple

T2300264
Position Surface form Disambiguated ID Type / Status
Subject Horseshoe Falls (Victoria Falls) E51713 entity
Predicate nearCity P350 FINISHED
Object Livingstone E51546 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: Livingstone | Statement: [Horseshoe Falls (Victoria Falls), nearCity, Livingstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livingstone
Context triple: [Horseshoe Falls (Victoria Falls), nearCity, Livingstone]
  • A. Livingstone chosen
    Livingstone is a historic town in southern Zambia that serves as a major gateway for tourists visiting Victoria Falls and the surrounding Zambezi River region.
  • B. Kumba
    Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
  • C. Anne Speke
    Anne Speke was an 18th-century British aristocrat best known as the wife of Prime Minister Lord North and a member of the influential Speke family.
  • D. Madikizela
    Madikizela is the maiden surname of South African anti-apartheid activist and politician Winnie Madikizela-Mandela.
  • E. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5edc1348190a4d84606b1310711 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea870018481908780ba79a0ddd5c7 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:49 p.m.