Triple

T15900511
Position Surface form Disambiguated ID Type / Status
Subject Masvingo Airport E385574 entity
Predicate locatedInCountry P40 FINISHED
Object Zimbabwe E1143 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: Zimbabwe | Statement: [Masvingo Airport, locatedInCountry, Zimbabwe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zimbabwe
Context triple: [Masvingo Airport, locatedInCountry, Zimbabwe]
  • A. Zimbabwe chosen
    Zimbabwe is a landlocked country in southern Africa known for its dramatic landscapes, diverse wildlife, and historical sites such as Victoria Falls and the Great Zimbabwe ruins.
  • B. Zambia and Zimbabwe
    Zambia and Zimbabwe are neighboring landlocked countries in southern Africa that share the famous Victoria Falls along their common border.
  • C. Zimbabwe and Mozambique
    Zimbabwe and Mozambique are neighboring countries in southeastern Africa that share borders, rivers, and ecosystems, including the Pungwe River basin.
  • D. Botswana and Zimbabwe
    Botswana and Zimbabwe are neighboring landlocked countries in Southern Africa that share close historical, economic, and ecological ties.
  • E. Zambia
    Zambia is a landlocked country in south-central Africa known for the Victoria Falls on the Zambezi River, diverse wildlife, and copper-rich economy.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563cd2f081909404d724ecc8785a completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03ef4e48190abe431e6abc9ef9c completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:51 a.m.