Triple

T7303010
Position Surface form Disambiguated ID Type / Status
Subject Karas Region E167904 entity
Predicate containsTown P847 FINISHED
Object Keetmanshoop E676451 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: Keetmanshoop | Statement: [Karas Region, containsTown, Keetmanshoop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keetmanshoop
Context triple: [Karas Region, containsTown, Keetmanshoop]
  • A. Keetmanshoop chosen
    Keetmanshoop is a historic town in southern Namibia known as a regional commercial center and gateway to the surrounding semi-desert landscapes.
  • B. Oudtshoorn
    Oudtshoorn is a South African town famed as the "ostrich capital of the world," known for its ostrich farms, Cango Caves, and semi-arid Karoo landscape.
  • C. Rustenburg
    Rustenburg is a city in South Africa’s North West Province known for its mining industry and as one of the venues for the 2010 FIFA World Cup.
  • D. Hoedspruit
    Hoedspruit is a small South African town near Kruger National Park, known as a gateway to wildlife reserves and scenic Lowveld attractions.
  • E. Uitenhage
    Uitenhage is a South African town in the Eastern Cape known historically for its automotive industry and as part of the greater Port Elizabeth (Gqeberha) urban area.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb2261c8190ae9095c8e110b528 completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a63b7e481909198ea21d7ee5159 completed March 29, 2026, 3:20 a.m.
Created at: March 27, 2026, 3:01 p.m.