Triple

T17072642
Position Surface form Disambiguated ID Type / Status
Subject Omaheke Region E414260 entity
Predicate borderedBy P224 FINISHED
Object Hardap Region E434815 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: Hardap Region | Statement: [Omaheke Region, borderedBy, Hardap Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hardap Region
Context triple: [Omaheke Region, borderedBy, Hardap Region]
  • A. Hardap Region chosen
    Hardap Region is a largely arid administrative region in central Namibia known for the Hardap Dam near Mariental and its significant role in the country’s agriculture and livestock farming.
  • B. Trysil region
    Trysil region is a mountainous forested area in eastern Norway known for its large ski resort and outdoor recreation opportunities.
  • C. Helgeland district
    Helgeland district is a traditional region in southern Nordland county, Norway, known for its coastal archipelagos, fjords, and scattered rural communities.
  • D. Harstad Region
    Harstad Region is a district in Northern Norway centered around the town of Harstad and encompassing surrounding municipalities in Troms county.
  • E. Bodø region
    The Bodø region is a coastal area in Northern Norway centered around the city of Bodø, known for its Arctic landscape, maritime industries, and role as a regional hub for education, transport, and commerce.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc28fec81909c39d432094d9cdd completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb3d6fb88190b23f825fe325622b completed May 12, 2026, 11:43 p.m.
Created at: April 10, 2026, 5:34 a.m.