Triple

T16381864
Position Surface form Disambiguated ID Type / Status
Subject Ohangwena Region E397824 entity
Predicate hasSettlement P1068 FINISHED
Object Ohangwena E1214214 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: Ohangwena | Statement: [Ohangwena Region, hasSettlement, Ohangwena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ohangwena
Context triple: [Ohangwena Region, hasSettlement, Ohangwena]
  • A. Ohangwena chosen
    Ohangwena is a settlement in northern Namibia that lends its name to the surrounding Ohangwena Region.
  • B. Niangala
    Niangala is a small rural locality in the New England region of New South Wales, Australia, known for its high-altitude farmland and cool climate.
  • C. Ongwediva
    Ongwediva is a growing town in northern Namibia known as an educational and commercial hub, hosting institutions like the University of Namibia’s campus and the annual Ongwediva Trade Fair.
  • D. Gwembe
    Gwembe is a small town in southern Zambia situated near the Zambezi Valley, historically associated with Tonga communities and resettlement related to the Kariba Dam.
  • E. Nyikang
    Nyikang is the legendary ancestral king and culture hero revered by the Shilluk people of South Sudan as the originator of their royal lineage and social order.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319dd0e0c8190812bde6a2f7d9644 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f41703c81908fb040a9107045ae completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:08 a.m.