Triple
T10265183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nguzo Saba |
E240694
|
entity |
| Predicate | hasPrinciple |
P1757
|
FINISHED |
| Object | Ujima |
E845719
|
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: Ujima | Statement: [Nguzo Saba, hasPrinciple, Ujima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ujima Context triple: [Nguzo Saba, hasPrinciple, Ujima]
-
A.
Ujima
chosen
Ujima is one of the seven principles of Kwanzaa, emphasizing collective work and responsibility within the community.
-
B.
Ujamaa
Ujamaa is a form of African socialism developed and implemented in Tanzania under Julius Nyerere, emphasizing communal ownership, self-reliance, and rural cooperative living.
-
C.
Umoja
Umoja is the Kwanzaa principle that emphasizes unity within the family, community, nation, and people of African descent.
-
D.
Uhuru na Umoja
Uhuru na Umoja is the national motto of Tanzania, expressing the country’s core ideals of freedom and unity.
-
E.
Igunga
Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
- 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_69d6f7ff3f808190b4a8a021f44e2176 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:33 a.m.