Triple

T18163038
Position Surface form Disambiguated ID Type / Status
Subject Hardap Region E434815 entity
Predicate borderedBy P224 FINISHED
Object Khomas Region NE NERFINISHED

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 Region | Statement: [Hardap Region, borderedBy, Khomas Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khomas Region
Context triple: [Hardap Region, borderedBy, Khomas Region]
  • 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. Khomas Hochland
    Khomas Hochland is a rugged highland area in central Namibia characterized by its mountainous terrain and scenic, sparsely populated landscapes.
  • C. Kunene Region
    Kunene Region is a sparsely populated, northwestern region of Namibia known for its rugged landscapes, desert-adapted wildlife, and remote Atlantic coastline.
  • D. Otjozondjupa Region
    Otjozondjupa Region is an administrative region in central Namibia known for its agricultural activities, wildlife areas, and role as a key transport corridor.
  • E. Erongo Region
    Erongo Region is an administrative region on Namibia’s central western coast, known for its Atlantic shoreline, desert landscapes, and the coastal town of Swakopmund.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec419788190a999a68f32fab39b completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.