Triple
T10165671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwanzaa |
E235198
|
entity |
| Predicate | corePrinciple |
P533
|
FINISHED |
| Object |
Umoja
Umoja is the Kwanzaa principle that emphasizes unity within the family, community, nation, and people of African descent.
|
E845718
|
NE FINISHED |
How this triple was built (4 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: Umoja | Statement: [Kwanzaa, corePrinciple, Umoja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umoja Context triple: [Kwanzaa, corePrinciple, Umoja]
-
A.
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.
-
B.
Emakhuwa
Emakhuwa is a Bantu language widely spoken in northern Mozambique, primarily by the Makua people.
-
C.
Uarekena
Uarekena is an indigenous Arawakan language spoken by the Warekena people in parts of Brazil and Venezuela.
-
D.
Ntumu
Ntumu is a dialect of the Fang language spoken by Fang communities in parts of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
-
E.
Umma
Umma was an important Sumerian city-state in ancient Mesopotamia, known for its frequent territorial conflicts with the neighboring city-state of Lagash.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Umoja Triple: [Kwanzaa, corePrinciple, Umoja]
Generated description
Umoja is the Kwanzaa principle that emphasizes unity within the family, community, nation, and people of African descent.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Umoja Target entity description: Umoja is the Kwanzaa principle that emphasizes unity within the family, community, nation, and people of African descent.
-
A.
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.
-
B.
Emakhuwa
Emakhuwa is a Bantu language widely spoken in northern Mozambique, primarily by the Makua people.
-
C.
Uarekena
Uarekena is an indigenous Arawakan language spoken by the Warekena people in parts of Brazil and Venezuela.
-
D.
Ntumu
Ntumu is a dialect of the Fang language spoken by Fang communities in parts of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
-
E.
Umma
Umma was an important Sumerian city-state in ancient Mesopotamia, known for its frequent territorial conflicts with the neighboring city-state of Lagash.
- F. None of above. chosen
Provenance (5 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6cf27481909f38839452ac0e37 |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300d672fc8190ad5b937d02a737fd |
completed | April 6, 2026, 12:39 a.m. |
| NEDg | Description generation | batch_69d30254aabc8190966a4398c59a851e |
completed | April 6, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d30305924c8190998cbefa372dca9a |
completed | April 6, 2026, 12:49 a.m. |
Created at: March 30, 2026, 9:10 p.m.