Triple

T6105711
Position Surface form Disambiguated ID Type / Status
Subject Drimolen E136111 entity
Predicate hasComponent P35 FINISHED
Object Drimolen Makondo E136111 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: Drimolen Makondo | Statement: [Drimolen, hasComponent, Drimolen Makondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drimolen Makondo
Context triple: [Drimolen, hasComponent, Drimolen Makondo]
  • A. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • B. Drimolen chosen
    Drimolen is an important South African paleoanthropological cave site known for yielding significant early hominin fossils within the Cradle of Humankind World Heritage area.
  • C. Soshangane
    Soshangane was a 19th-century Nguni military leader who founded the Gaza Empire in southeastern Africa during the upheavals of the Mfecane.
  • D. Madikizela
    Madikizela is the maiden surname of South African anti-apartheid activist and politician Winnie Madikizela-Mandela.
  • E. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b7ee8b48190b87f5ec8a46d6e2d completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d56f234819082d89a755ae5a446 completed March 24, 2026, 4:04 a.m.
Created at: March 22, 2026, 4:13 p.m.