Triple

T6647073
Position Surface form Disambiguated ID Type / Status
Subject Victoria Falls (town) E150727 entity
Predicate roadConnection P385 FINISHED
Object Hwange E610134 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: Hwange | Statement: [Victoria Falls (town), roadConnection, Hwange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hwange
Context triple: [Victoria Falls (town), roadConnection, Hwange]
  • A. Hwange chosen
    Hwange is a town in western Zimbabwe best known for its large coal mining industry and its proximity to Hwange National Park, the country’s largest game reserve.
  • B. Hwange National Park
    Hwange National Park is Zimbabwe’s largest and oldest national park, renowned for its vast elephant populations and diverse wildlife-rich savanna landscapes.
  • C. Kafue National Park
    Kafue National Park is one of Africa’s largest and oldest national parks, renowned for its diverse wildlife, expansive wetlands, and relatively untouched wilderness.
  • D. Sioma, Zambia
    Sioma is a rural town in western Zambia known as a gateway to the scenic Ngonye Falls on the Zambezi River.
  • E. Zambezi Valley
    The Zambezi Valley is a vast, wildlife-rich river valley in southern Africa, known for its dramatic landscapes along the Zambezi River and protected areas such as Mana Pools.
  • 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_69c6f7944bdc81909ea991062dce619d completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2 p.m.