Triple

T22047248
Position Surface form Disambiguated ID Type / Status
Subject Umlazi E544792 entity
Predicate hasSection P35 FINISHED
Object Umlazi V 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: Umlazi V | Statement: [Umlazi, hasSection, Umlazi V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umlazi V
Context triple: [Umlazi, hasSection, Umlazi V]
  • A. Umlazi chosen
    Umlazi is a large township in the Durban area of South Africa, known as one of the country’s biggest urban settlements and a significant cultural and economic hub in KwaZulu-Natal.
  • B. Uga V
    Uga V was a beloved English Bulldog who served as the live mascot of the University of Georgia Bulldogs football team.
  • C. Umzinto
    Umzinto is a town in the KwaZulu-Natal province of South Africa, historically known for its sugar industry and diverse local community.
  • D. Ngwane V
    Ngwane V was a king of Swaziland (now Eswatini) who ruled in the late 19th century before the long reign of Sobhuza II.
  • E. Zanemvula
    Zanemvula is the given first name of South African novelist, playwright, and poet Zakes Mda.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12830c674819080254d77ee02bc9f completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:26 p.m.