Triple

T10765935
Position Surface form Disambiguated ID Type / Status
Subject Southern Suburbs of Cape Town E253954 entity
Predicate contains P35 FINISHED
Object Rondebosch E857845 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: Rondebosch | Statement: [Southern Suburbs of Cape Town, contains, Rondebosch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rondebosch
Context triple: [Southern Suburbs of Cape Town, contains, Rondebosch]
  • A. Rondebosch chosen
    Rondebosch is a leafy, affluent suburb in Cape Town, South Africa, known for its academic character and proximity to major educational institutions.
  • B. Muizenberg
    Muizenberg is a seaside suburb of Cape Town, South Africa, known for its popular surfing beach and colorful Victorian beach huts.
  • C. Durbanville
    Durbanville is a suburban town in the northern outskirts of Cape Town, South Africa, known for its wine estates and residential character.
  • D. Paarl
    Paarl is a historic town in South Africa renowned for its wine estates, scenic granite rock formations, and role in the development of the Afrikaans language.
  • E. Roodepoort
    Roodepoort is a suburban city on the western side of Johannesburg in South Africa, known for its residential areas, shopping centers, and proximity to the Witwatersrand hills.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7322d3a9c81909e58f6064643b814 completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de235fe7748190ba004f889da389ff completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.