Triple
T15490060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pool Department |
E378657
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Goma Tsé-Tsé
Goma Tsé-Tsé is a small town located in the Pool Department of the Republic of the Congo.
|
E1160830
|
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: Goma Tsé-Tsé | Statement: [Pool Department, containsTown, Goma Tsé-Tsé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goma Tsé-Tsé Context triple: [Pool Department, containsTown, Goma Tsé-Tsé]
-
A.
Katwe
Katwe is a densely populated, impoverished neighborhood in Kampala, Uganda, known for its informal markets, metalworking industry, and as the real-life backdrop of the chess prodigy story depicted in "Queen of Katwe."
-
B.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
-
C.
Tsitsi
Tsitsi is a Zimbabwean given name notably borne by acclaimed novelist and filmmaker Tsitsi Dangarembga.
-
D.
Nyoro-Ganda
Nyoro-Ganda is a subgroup of closely related Bantu languages spoken around the African Great Lakes region, including varieties such as Runyoro and Luganda.
-
E.
Chiwere
Chiwere is a Siouan language historically spoken by the Otoe-Missouria and Iowa (Ioway) Native American tribes of the central United States.
- 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: Goma Tsé-Tsé Triple: [Pool Department, containsTown, Goma Tsé-Tsé]
Generated description
Goma Tsé-Tsé is a small town located in the Pool Department of the Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goma Tsé-Tsé Target entity description: Goma Tsé-Tsé is a small town located in the Pool Department of the Republic of the Congo.
-
A.
Katwe
Katwe is a densely populated, impoverished neighborhood in Kampala, Uganda, known for its informal markets, metalworking industry, and as the real-life backdrop of the chess prodigy story depicted in "Queen of Katwe."
-
B.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
-
C.
Tsitsi
Tsitsi is a Zimbabwean given name notably borne by acclaimed novelist and filmmaker Tsitsi Dangarembga.
-
D.
Nyoro-Ganda
Nyoro-Ganda is a subgroup of closely related Bantu languages spoken around the African Great Lakes region, including varieties such as Runyoro and Luganda.
-
E.
Chiwere
Chiwere is a Siouan language historically spoken by the Otoe-Missouria and Iowa (Ioway) Native American tribes of the central United States.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365f27c48190822254b6da504d3d |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff375856448190a61979dfff751f06 |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff382f1bbc8190810d0d825430f9ea |
completed | May 9, 2026, 1:35 p.m. |
Created at: April 10, 2026, 3:48 a.m.