Triple
T6580044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kisangani |
E157267
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object | Stanleyville |
E599475
|
NE FINISHED |
How this triple was built (2 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: Stanleyville | Statement: [Kisangani, foundedAs, Stanleyville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanleyville Context triple: [Kisangani, foundedAs, Stanleyville]
-
A.
Stanleyville
chosen
Stanleyville is the former colonial name of Kisangani, a major city in the northeastern Democratic Republic of the Congo located on the Congo River.
-
B.
Rufisque
Rufisque is a coastal city in western Senegal that developed as an important Atlantic trading port and now forms part of the Dakar metropolitan area.
-
C.
Bhamo
Bhamo is a town in northern Myanmar situated on the Ayeyarwady River, historically important as a trading hub near the Chinese border.
-
D.
Boma
Boma is a buffet-style African-inspired restaurant at Disney’s Animal Kingdom Lodge known for its diverse flavors and vibrant, marketplace-like atmosphere.
-
E.
Boma
Boma is a historic port city on the Congo River in present-day Democratic Republic of the Congo that served as a major colonial administrative and trading center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae8ef4d08190b4c88aa0c15fe91c |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d572c4708190844f4b1abee8ca86 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:54 p.m.