Triple

T10265184
Position Surface form Disambiguated ID Type / Status
Subject Nguzo Saba E240694 entity
Predicate hasPrinciple P1757 FINISHED
Object Ujamaa E396760 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: Ujamaa | Statement: [Nguzo Saba, hasPrinciple, Ujamaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ujamaa
Context triple: [Nguzo Saba, hasPrinciple, Ujamaa]
  • A. Ujamaa chosen
    Ujamaa is a form of African socialism developed and implemented in Tanzania under Julius Nyerere, emphasizing communal ownership, self-reliance, and rural cooperative living.
  • B. Ujima
    Ujima is one of the seven principles of Kwanzaa, emphasizing collective work and responsibility within the community.
  • C. Umoja
    Umoja is the Kwanzaa principle that emphasizes unity within the family, community, nation, and people of African descent.
  • D. Emakhuwa
    Emakhuwa is a Bantu language widely spoken in northern Mozambique, primarily by the Makua people.
  • E. Tchambuli society
    Tchambuli society is an indigenous community from Papua New Guinea whose gender roles and social organization were famously analyzed by Margaret Mead to challenge Western assumptions about sex and temperament.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25f17ec8190ac57836d36cb39db completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71ce5ac10819092c287bc435ae010 completed April 9, 2026, 3:28 a.m.
Created at: April 6, 2026, 11:33 a.m.