Triple

T3876345
Position Surface form Disambiguated ID Type / Status
Subject Oshana Region E92509 entity
Predicate borderedBy P224 FINISHED
Object Kunene Region E171458 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: Kunene Region | Statement: [Oshana Region, borderedBy, Kunene Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunene Region
Context triple: [Oshana Region, borderedBy, Kunene Region]
  • A. Kunene Region chosen
    Kunene Region is a sparsely populated, northwestern region of Namibia known for its rugged landscapes, desert-adapted wildlife, and remote Atlantic coastline.
  • B. Ohangwena Region
    Ohangwena Region is an administrative region in northern Namibia, known for its dense rural population and location along the border with Angola.
  • C. Lindi Region
    Lindi Region is a coastal administrative region in southern Tanzania known for its historical Swahili settlements and Indian Ocean shoreline.
  • D. 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.
  • E. Khomas Region
    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.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec719c148190a731773ac262221b completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52845684c8190b6f0676319a6fc3c completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:20 p.m.