Triple

T11399511
Position Surface form Disambiguated ID Type / Status
Subject Cape Winelands District Municipality E270069 entity
Predicate contains P35 FINISHED
Object Franschhoek E54800 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: Franschhoek | Statement: [Cape Winelands District Municipality, contains, Franschhoek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franschhoek
Context triple: [Cape Winelands District Municipality, contains, Franschhoek]
  • A. Franschhoek chosen
    Franschhoek is a picturesque South African town renowned for its wine estates, Cape Dutch architecture, and acclaimed culinary scene.
  • B. Stellenbosch wine district
    Stellenbosch wine district is a renowned South African wine-producing area near Cape Town, celebrated for its high-quality vineyards and historic wine estates.
  • C. Clarens
    Clarens is a picturesque lakeside locality in the Swiss Riviera region on the shores of Lake Geneva, known for its scenic views and mild climate.
  • D. Swartland
    Swartland is a wine-producing and agricultural region in South Africa’s Western Cape, known for its dry-farmed vineyards and distinctive Rhône-style and old-vine wines.
  • E. Rondebosch
    Rondebosch is a leafy, affluent suburb in Cape Town, South Africa, known for its academic character and proximity to major educational institutions.
  • 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_69e58cf75ec08190a571e5178bcde274 completed April 20, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:34 p.m.