Triple

T6647071
Position Surface form Disambiguated ID Type / Status
Subject Victoria Falls (town) E150727 entity
Predicate partOf P40 FINISHED
Object Victoria Falls urban area E150727 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: Victoria Falls urban area | Statement: [Victoria Falls (town), partOf, Victoria Falls urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Falls urban area
Context triple: [Victoria Falls (town), partOf, Victoria Falls urban area]
  • A. Victoria Falls town chosen
    Victoria Falls town is a major Zimbabwean resort town and gateway for visitors to the famous Victoria Falls on the Zambezi River.
  • B. Bulawayo
    Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
  • C. Hoedspruit
    Hoedspruit is a small South African town near Kruger National Park, known as a gateway to wildlife reserves and scenic Lowveld attractions.
  • D. Marondera
    Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
  • E. Kabwe, Zambia
    Kabwe, Zambia is a central Zambian town historically known as a major mining and railway hub and as the birthplace of novelist Wilbur Smith.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01cecc48190a6d2c26d8d5ab80c completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef6def8819084bccdf6f11e63da completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2 p.m.