Triple

T12447348
Position Surface form Disambiguated ID Type / Status
Subject Little Karoo E297435 entity
Predicate partOf P40 FINISHED
Object Karoo E73016 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: Karoo | Statement: [Little Karoo, partOf, Karoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karoo
Context triple: [Little Karoo, partOf, Karoo]
  • A. Karoo chosen
    The Karoo is a vast semi-arid region in South Africa characterized by sparse vegetation, unique succulent flora, and extreme temperature variations.
  • B. African Veldt
    African Veldt is a zoo exhibit that recreates the open grassland habitats of sub-Saharan Africa, typically featuring species such as giraffes, zebras, and antelopes.
  • C. Namaqualand
    Namaqualand is a semi-desert region in southwestern Africa famed for its spectacular seasonal wildflower displays and unique biodiversity.
  • D. Damaraland
    Damaraland is a rugged, semi-arid region of northwestern Namibia known for its dramatic landscapes, desert-adapted wildlife, and as the historical homeland of the Damara people.
  • E. Southwestern South Africa
    Southwestern South Africa is a coastal part of the country encompassing areas around Cape Town, known for its Mediterranean climate, mountainous landscapes, and wine-producing regions.
  • 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_69f63f132d048190b58a8381bdc74cad completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.