Triple

T16859837
Position Surface form Disambiguated ID Type / Status
Subject Otjozondjupa Region E409879 entity
Predicate containsSettlement P847 FINISHED
Object Otjiwarongo E891494 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: Otjiwarongo | Statement: [Otjozondjupa Region, containsSettlement, Otjiwarongo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otjiwarongo
Context triple: [Otjozondjupa Region, containsSettlement, Otjiwarongo]
  • A. Otjiwarongo chosen
    Otjiwarongo is a town in central Namibia known as a key commercial and transport hub for the surrounding agricultural and wildlife regions.
  • B. Kasane
    Kasane is a small town in northern Botswana that serves as a key gateway and service hub for visitors to Chobe National Park and the surrounding wildlife areas.
  • C. Chegutu
    Chegutu is a town in central northern Zimbabwe known for its agricultural activities and gold mining.
  • D. Kapiri Mposhi
    Kapiri Mposhi is a town in central Zambia that serves as a key rail and road junction linking the country to Tanzania and other regions.
  • E. Malaba
    Malaba is a key border town between Uganda and Kenya that serves as a major transit point for regional trade and transport.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b501f72881909f7600311705fb33 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a6f2c48190874839f78f943fdb completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:24 a.m.