Triple
T14998631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanga Region |
E374023
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object |
Sambaa
The Sambaa are a Bantu-speaking ethnic group primarily inhabiting the Usambara Mountains and surrounding areas of northeastern Tanzania.
|
E1131066
|
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: Sambaa | Statement: [Tanga Region, hasEthnicGroup, Sambaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sambaa Context triple: [Tanga Region, hasEthnicGroup, Sambaa]
-
A.
Sibari
Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
-
B.
Sakia
Sakia is a prominent cultural center and arts venue in Cairo, Egypt, known for hosting concerts, exhibitions, and a wide range of cultural events.
-
C.
Saamáka
Saamáka is a creole language spoken primarily by the Saramaka Maroon community in Suriname, known for its blend of English, Portuguese, and West African linguistic influences.
-
D.
Kunama
Kunama is a Nilo-Saharan language spoken primarily by the Kunama people in western Eritrea and adjacent parts of Ethiopia.
-
E.
Sarawee
Sarawee is a small village located in Belize’s Stann Creek District, known for its rural setting and close-knit community.
- 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: Sambaa Triple: [Tanga Region, hasEthnicGroup, Sambaa]
Generated description
The Sambaa are a Bantu-speaking ethnic group primarily inhabiting the Usambara Mountains and surrounding areas of northeastern Tanzania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sambaa Target entity description: The Sambaa are a Bantu-speaking ethnic group primarily inhabiting the Usambara Mountains and surrounding areas of northeastern Tanzania.
-
A.
Sibari
Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
-
B.
Sakia
Sakia is a prominent cultural center and arts venue in Cairo, Egypt, known for hosting concerts, exhibitions, and a wide range of cultural events.
-
C.
Saamáka
Saamáka is a creole language spoken primarily by the Saramaka Maroon community in Suriname, known for its blend of English, Portuguese, and West African linguistic influences.
-
D.
Kunama
Kunama is a Nilo-Saharan language spoken primarily by the Kunama people in western Eritrea and adjacent parts of Ethiopia.
-
E.
Sarawee
Sarawee is a small village located in Belize’s Stann Creek District, known for its rural setting and close-knit community.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969c3ba88190899f06b185e94ccf |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe972728dc8190a9cf2a3e984b05a7 |
completed | May 9, 2026, 2:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9790d1d081908fc94829d3104e07 |
completed | May 9, 2026, 2:10 a.m. |
Created at: April 10, 2026, 2:54 a.m.