Triple
T19732740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maniema Province |
E473894
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Kasongo
Kasongo is a town in eastern Democratic Republic of the Congo that serves as an important local center in Maniema Province.
|
E1393632
|
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: Kasongo | Statement: [Maniema Province, hasCity, Kasongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasongo Context triple: [Maniema Province, hasCity, Kasongo]
-
A.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
B.
Kasangati
Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
-
C.
Zalongo
Zalongo is a historic village and archaeological area in Epirus, Greece, best known for the 19th-century mass suicide of Souliot women commemorated by the Dance of Zalongo.
-
D.
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.
-
E.
Bitonga
Bitonga is a Bantu language spoken primarily by the Bitonga people in Mozambique’s Inhambane Province.
- 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: Kasongo Triple: [Maniema Province, hasCity, Kasongo]
Generated description
Kasongo is a town in eastern Democratic Republic of the Congo that serves as an important local center in Maniema Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kasongo Target entity description: Kasongo is a town in eastern Democratic Republic of the Congo that serves as an important local center in Maniema Province.
-
A.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
B.
Kasangati
Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
-
C.
Zalongo
Zalongo is a historic village and archaeological area in Epirus, Greece, best known for the 19th-century mass suicide of Souliot women commemorated by the Dance of Zalongo.
-
D.
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.
-
E.
Bitonga
Bitonga is a Bantu language spoken primarily by the Bitonga people in Mozambique’s Inhambane Province.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e651596b98819090bcaf05c7b74555 |
completed | April 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd5f0a208190bd471c6e8d544a2a |
completed | May 16, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_6a07be2233c48190a9337bf238b0944b |
completed | May 16, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07be94ac8081909dadabadaa4be370 |
completed | May 16, 2026, 12:47 a.m. |
Created at: April 10, 2026, 1:47 p.m.