Triple
T2317562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geita Region |
E51099
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Nyankumbu
Nyankumbu is a settlement located within Tanzania's Geita Region in East Africa.
|
E256515
|
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: Nyankumbu | Statement: [Geita Region, hasSettlement, Nyankumbu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyankumbu Context triple: [Geita Region, hasSettlement, Nyankumbu]
-
A.
Nyanda
Nyanda is the former name of Masvingo, a historic city in southeastern Zimbabwe known for its proximity to the Great Zimbabwe ruins.
-
B.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
C.
Mizani
Mizani is a professional haircare brand known for its salon-quality products formulated specifically for textured, curly, and coily hair.
-
D.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
E.
Mukuzani
Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti 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: Nyankumbu Triple: [Geita Region, hasSettlement, Nyankumbu]
Generated description
Nyankumbu is a settlement located within Tanzania's Geita Region in East Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nyankumbu Target entity description: Nyankumbu is a settlement located within Tanzania's Geita Region in East Africa.
-
A.
Nyanda
Nyanda is the former name of Masvingo, a historic city in southeastern Zimbabwe known for its proximity to the Great Zimbabwe ruins.
-
B.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
C.
Mizani
Mizani is a professional haircare brand known for its salon-quality products formulated specifically for textured, curly, and coily hair.
-
D.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
E.
Mukuzani
Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc62df2048190ac7a5ebc0a4139b2 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8964902081909070dd03ccb7cf1f |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8ab5bf78819085120418a26cbe28 |
completed | March 9, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8b2a89788190975ab66f432f834f |
completed | March 9, 2026, 8:56 a.m. |
Created at: March 4, 2026, 7:49 p.m.