Triple

T14107433
Position Surface form Disambiguated ID Type / Status
Subject How the Leopard Got His Spots E339542 entity
Predicate setting P1957 FINISHED
Object Africa E1402 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: Africa | Statement: [How the Leopard Got His Spots, setting, Africa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Africa
Context triple: [How the Leopard Got His Spots, setting, Africa]
  • A. Africa chosen
    Africa is the world’s second-largest and second-most populous continent, known for its vast cultural diversity, rich natural resources, and significant historical and ecological importance.
  • B. Sub-Saharan Africa
    Sub-Saharan Africa is the geographically expansive and culturally diverse region of Africa located south of the Sahara Desert, encompassing dozens of countries with rapidly growing populations and economies.
  • C. All Africa
    All Africa is a movement from Max Roach’s landmark civil rights-era jazz work "We Insist! Freedom Now Suite," known for its powerful evocation of African rhythms and anti-colonial struggle.
  • D. Afrika
    Afrika is a surname most notably borne by South African rugby sevens star Cecil Afrika.
  • E. West Africa
    West Africa is a region on the western coast of the African continent, historically significant for its role in trans-Saharan and Atlantic trade, diverse cultures and languages, and complex precolonial and colonial histories.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600ada808190b92d67dc30f13d15 completed April 14, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7dc62b081909f3c9259295064cf completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:22 p.m.