Triple

T12447359
Position Surface form Disambiguated ID Type / Status
Subject Little Karoo E297435 entity
Predicate majorTown P316 FINISHED
Object Calitzdorp E963783 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: Calitzdorp | Statement: [Little Karoo, majorTown, Calitzdorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calitzdorp
Context triple: [Little Karoo, majorTown, Calitzdorp]
  • A. Calitzdorp chosen
    Calitzdorp is a small town in South Africa’s Western Cape renowned for its port-style wines and scenic setting along Route 62.
  • B. Bredasdorp
    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.
  • 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. Ermelo
    Ermelo is a town in the province of Gelderland in the central Netherlands, known for its location near the Veluwe forests and heathlands.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d90f18c819083a36ff4b9be4a20 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a82c2b9c819084ffd933e5b295b9 completed May 3, 2026, 7:55 p.m.
Created at: April 8, 2026, 9:56 p.m.