Triple

T3959400
Position Surface form Disambiguated ID Type / Status
Subject President of Namibia E85863 entity
Predicate seat P75 FINISHED
Object Windhoek E48226 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: Windhoek | Statement: [President of Namibia, seat, Windhoek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windhoek
Context triple: [President of Namibia, seat, Windhoek]
  • A. Windhoek chosen
    Windhoek is the capital and largest city of Namibia, serving as the country’s political, economic, and cultural center.
  • B. Kasane
    Kasane is a small town in northern Botswana that serves as a key gateway and service hub for visitors to Chobe National Park and the surrounding wildlife areas.
  • C. N'Djamena
    N'Djamena is the largest city and political, economic, and cultural center of Chad, located in the southwestern part of the country near the border with Cameroon.
  • D. Malabo
    Malabo is the largest city and main economic and administrative center of Equatorial Guinea, located on the northern coast of Bioko Island in the Gulf of Guinea.
  • E. Luanda
    Luanda is the capital and largest city of Angola, a major Atlantic port and economic hub with a history shaped by Portuguese colonial rule and the transatlantic slave trade.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95ef8988190ba504cdfc217c4fa completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53fff53b88190a268c90889f7b5b6 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:31 p.m.