Triple

T19467970
Position Surface form Disambiguated ID Type / Status
Subject Equatoria region E487047 entity
Predicate hasMajorCity P316 FINISHED
Object Yei 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: Yei | Statement: [Equatoria region, hasMajorCity, Yei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yei
Context triple: [Equatoria region, hasMajorCity, Yei]
  • A. Yei chosen
    Yei is a town in southwestern South Sudan that serves as a regional hub near the borders with Uganda and the Democratic Republic of the Congo.
  • B. Yeyi
    Yeyi is a Bantu language spoken by the Yeyi people primarily in the Caprivi Strip of Namibia and parts of Botswana.
  • C. Yeyin
    Yeyin is a small coastal settlement on Orchid Island, Taiwan, known for its indigenous Tao culture and traditional fishing lifestyle.
  • D. Yeji
    Yeji is a town in central Ghana situated on the shores of Lake Volta, known as a local fishing and trading hub.
  • E. Yüeh
    Yüeh is an alternative romanization of "Yue," a term historically associated with various ancient peoples and regions in southern China and their related languages and cultures.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e4b230819097c8804ee91988ea completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.