Triple

T2323163
Position Surface form Disambiguated ID Type / Status
Subject Windhoek E48226 entity
Predicate locatedOn P40 FINISHED
Object Khomas Highland E91223 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: Khomas Highland | Statement: [Windhoek, locatedOn, Khomas Highland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khomas Highland
Context triple: [Windhoek, locatedOn, Khomas Highland]
  • A. Khomas Region chosen
    Khomas Region is a central administrative region of Namibia that includes the national capital, Windhoek, and serves as a key political and economic hub of the country.
  • B. Kunene Region
    Kunene Region is a sparsely populated, northwestern region of Namibia known for its rugged landscapes, desert-adapted wildlife, and remote Atlantic coastline.
  • C. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • D. Barotseland region
    Barotseland region is a historical and cultural area in western Zambia, traditionally associated with the Lozi people and their kingdom.
  • E. South Rhodes
    South Rhodes is a municipal unit on the island of Rhodes in Greece, known for its coastal villages, beaches, and relatively undeveloped natural landscapes.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc645bac081908c0b161d0ca99aaf completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8786d508190aac531a88fc5076f completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:49 p.m.