Triple
T11773204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kisolongo |
E279950
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kisongo
Kisongo is a locality whose name is used as an alternative designation for the place known as Kisolongo.
|
E279950
|
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: Kisongo | Statement: [Kisolongo, hasAlternativeName, Kisongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kisongo Context triple: [Kisolongo, hasAlternativeName, Kisongo]
-
A.
Kisolongo
Kisolongo is a regional dialect of the Kikongo language spoken by Kongo communities in parts of Central Africa.
-
B.
Mikongo
Mikongo is a small settlement in central Gabon that serves as a key access point for visitors exploring Lope National Park.
-
C.
Kisoro
Kisoro is a small town in southwestern Uganda known as a gateway to gorilla trekking and the nearby Bwindi Impenetrable and Mgahinga Gorilla National Parks.
-
D.
Kasangati
Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
-
E.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma 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: Kisongo Triple: [Kisolongo, hasAlternativeName, Kisongo]
Generated description
Kisongo is a locality whose name is used as an alternative designation for the place known as Kisolongo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kisongo Target entity description: Kisongo is a locality whose name is used as an alternative designation for the place known as Kisolongo.
-
A.
Kisolongo
chosen
Kisolongo is a regional dialect of the Kikongo language spoken by Kongo communities in parts of Central Africa.
-
B.
Mikongo
Mikongo is a small settlement in central Gabon that serves as a key access point for visitors exploring Lope National Park.
-
C.
Kisoro
Kisoro is a small town in southwestern Uganda known as a gateway to gorilla trekking and the nearby Bwindi Impenetrable and Mgahinga Gorilla National Parks.
-
D.
Kasangati
Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
-
E.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
- F. None of above.
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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55dfa088190a59b35d0247225e3 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f130cb31f48190a9357cce47a7b192 |
completed | April 28, 2026, 10:12 p.m. |
| NEDg | Description generation | batch_69f14e879aa88190a95f13e23dd346f4 |
completed | April 29, 2026, 12:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f156fa5cc48190a43c1d2e5df346fe |
completed | April 29, 2026, 12:55 a.m. |
Created at: April 8, 2026, 9:41 p.m.