Triple

T3460717
Position Surface form Disambiguated ID Type / Status
Subject Karoo E73016 entity
Predicate hasPart P35 FINISHED
Object Hantam 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: Hantam Karoo | Statement: [Karoo, hasPart, Hantam Karoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hantam Karoo
Context triple: [Karoo, hasPart, Hantam 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. Namaqualand
    Namaqualand is a semi-desert region in southwestern Africa famed for its spectacular seasonal wildflower displays and unique biodiversity.
  • C. Griqualand West
    Griqualand West was a 19th-century British colonial territory in southern Africa, centered on the diamond-rich area around Kimberley.
  • D. 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.
  • E. Kalahari Desert
    The Kalahari Desert is a vast semi-arid sandy savanna in southern Africa known for its red dunes, sparse vegetation, and unique wildlife adapted to its dry conditions.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae5ff848190880fa416a123bc4a completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bb904148190858af0bb467f5954 completed March 13, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:17 p.m.