Triple

T11399510
Position Surface form Disambiguated ID Type / Status
Subject Cape Winelands District Municipality E270069 entity
Predicate contains P35 FINISHED
Object Paarl E64645 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: Paarl | Statement: [Cape Winelands District Municipality, contains, Paarl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paarl
Context triple: [Cape Winelands District Municipality, contains, Paarl]
  • A. Paarl chosen
    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. Durbanville
    Durbanville is a suburban town in the northern outskirts of Cape Town, South Africa, known for its wine estates and residential character.
  • C. Uitenhage
    Uitenhage is a South African town in the Eastern Cape known historically for its automotive industry and as part of the greater Port Elizabeth (Gqeberha) urban area.
  • D. Tulbagh
    Tulbagh is a historic town in South Africa’s Western Cape, known for its Cape Dutch architecture and surrounding wine-producing valley.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001adc188190ae45227856156412 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e624600e0081909cc6f53c05a34efb completed April 20, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:34 p.m.