Triple

T3280922
Position Surface form Disambiguated ID Type / Status
Subject Maulana Karenga E68868 entity
Predicate developedConcept P73 FINISHED
Object Nguzo Saba E240694 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: Nguzo Saba | Statement: [Maulana Karenga, developedConcept, Nguzo Saba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nguzo Saba
Context triple: [Maulana Karenga, developedConcept, Nguzo Saba]
  • A. Nguzo Saba chosen
    Nguzo Saba is a set of seven African-centered principles that form the philosophical and ethical foundation of the Kwanzaa holiday and related cultural practices.
  • B. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • C. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • D. Nzaman
    Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
  • E. Nodwengu
    Nodwengu was a principal royal residence and political center of the Zulu Kingdom during the 19th century.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb032d76c81909c568a4e56d12ce9 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e851d2bc8190ba887cd1c81c880d completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.