Triple

T2711219
Position Surface form Disambiguated ID Type / Status
Subject Roodepoort E59864 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Roodekrans E59864 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: Roodekrans | Statement: [Roodepoort, hasNeighbourhood, Roodekrans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roodekrans
Context triple: [Roodepoort, hasNeighbourhood, Roodekrans]
  • A. 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.
  • B. Roodepoort chosen
    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.
  • C. Krugersdorp
    Krugersdorp is a historic mining town in South Africa known for its gold deposits and location on the West Rand of the Gauteng province.
  • D. Oudtshoorn
    Oudtshoorn is a South African town famed as the "ostrich capital of the world," known for its ostrich farms, Cango Caves, and semi-arid Karoo landscape.
  • E. Muizenberg
    Muizenberg is a seaside suburb of Cape Town, South Africa, known for its popular surfing beach and colorful Victorian beach huts.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda78c4f08190bb1217f08198c4cc completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbbc2eec819082f6e6e157d4efc7 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:55 p.m.