Triple
T8309672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagera Region |
E194558
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object |
Hangaza
The Hangaza are an ethnic group native to northwestern Tanzania, primarily inhabiting the Kagera Region near the border with Rwanda and Uganda.
|
E725056
|
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: Hangaza | Statement: [Kagera Region, hasEthnicGroup, Hangaza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hangaza Context triple: [Kagera Region, hasEthnicGroup, Hangaza]
-
A.
Manzala
Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
-
B.
Busayrah
Busayrah is a town in eastern Syria situated along the Khabur River, historically important as a local agricultural and trading center.
-
C.
Zigra
Zigra is a monstrous alien shark-like kaiju from the Gamera film series, known for invading Earth and battling the giant turtle guardian.
-
D.
Hakitia
Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
-
E.
Montaza
Montaza is a coastal district and popular recreational area in Alexandria, Egypt, known for its historic royal palace, expansive gardens, and Mediterranean beaches.
- 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: Hangaza Triple: [Kagera Region, hasEthnicGroup, Hangaza]
Generated description
The Hangaza are an ethnic group native to northwestern Tanzania, primarily inhabiting the Kagera Region near the border with Rwanda and Uganda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hangaza Target entity description: The Hangaza are an ethnic group native to northwestern Tanzania, primarily inhabiting the Kagera Region near the border with Rwanda and Uganda.
-
A.
Manzala
Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
-
B.
Busayrah
Busayrah is a town in eastern Syria situated along the Khabur River, historically important as a local agricultural and trading center.
-
C.
Zigra
Zigra is a monstrous alien shark-like kaiju from the Gamera film series, known for invading Earth and battling the giant turtle guardian.
-
D.
Hakitia
Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
-
E.
Montaza
Montaza is a coastal district and popular recreational area in Alexandria, Egypt, known for its historic royal palace, expansive gardens, and Mediterranean beaches.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2d2c30819095075940479b75a7 |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95665390819089c8becad018cf51 |
completed | April 1, 2026, 10 p.m. |
| NEDg | Description generation | batch_69cda62070888190b55b3f54d29e28e7 |
completed | April 1, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb21a65d88190a19dd41f95d173c8 |
completed | April 2, 2026, 12:02 a.m. |
Created at: March 30, 2026, 5:54 p.m.