Triple

T13865449
Position Surface form Disambiguated ID Type / Status
Subject Overberg District E333311 entity
Predicate contains P35 FINISHED
Object Bredasdorp E598775 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: Bredasdorp | Statement: [Overberg District, contains, Bredasdorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bredasdorp
Context triple: [Overberg District, contains, Bredasdorp]
  • A. Bredasdorp chosen
    Bredasdorp is a small agricultural town in South Africa’s Western Cape, known as a gateway to the southern Overberg region and nearby coastal and nature attractions.
  • B. Calitzdorp
    Calitzdorp is a small town in South Africa’s Western Cape renowned for its port-style wines and scenic setting along Route 62.
  • C. Blauwestad
    Blauwestad is a modern lakeside residential and recreational area in the Dutch province of Groningen, developed around the artificial lake Oldambtmeer.
  • D. 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.
  • E. Swellendam
    Swellendam is a historic town in South Africa’s Western Cape, known for its Cape Dutch architecture and location near the Langeberg Mountains.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c30d9c81908217d41a3b4aaf85 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea59d27bc81908ace0b7db9f57215 completed May 9, 2026, 3:10 a.m.
Created at: April 9, 2026, 10:14 p.m.