Triple
T2165475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Organization |
E46898
|
entity |
| Predicate | promotedConcept |
P1258
|
FINISHED |
| Object |
Nguzo Saba
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.
|
E240694
|
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: Nguzo Saba | Statement: [US Organization, promotedConcept, Nguzo Saba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nguzo Saba Context triple: [US Organization, promotedConcept, Nguzo Saba]
-
A.
Umbundu
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
-
B.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
C.
Nzaman
Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
-
D.
Nodwengu
Nodwengu was a principal royal residence and political center of the Zulu Kingdom during the 19th century.
-
E.
Mwanza
Mwanza is a major port city in northwestern Tanzania, situated on the southern shores of Lake Victoria and serving as a key commercial and transport hub for the region.
- 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: Nguzo Saba Triple: [US Organization, promotedConcept, Nguzo Saba]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nguzo Saba Target entity description: 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.
-
A.
Umbundu
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
-
B.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
C.
Nzaman
Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
-
D.
Nodwengu
Nodwengu was a principal royal residence and political center of the Zulu Kingdom during the 19th century.
-
E.
Mwanza
Mwanza is a major port city in northwestern Tanzania, situated on the southern shores of Lake Victoria and serving as a key commercial and transport hub for the region.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeaa14bc81908486683decd7ae42 |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58f044b8819092c58022383d3468 |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae5972d3d4819082f8896f12126422 |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a10607881909849a72201399d62 |
completed | March 9, 2026, 5:26 a.m. |
Created at: March 4, 2026, 7:45 p.m.