Triple
T6201705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Karisimbi |
E138647
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object | Goma |
E302550
|
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: Goma | Statement: [Mount Karisimbi, isNear, Goma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goma Context triple: [Mount Karisimbi, isNear, Goma]
-
A.
Goma
chosen
Goma is a city in eastern Democratic Republic of the Congo on the northern shore of Lake Kivu, known as a gateway to Virunga National Park and for its proximity to the active Nyiragongo volcano.
-
B.
Kisangani
Kisangani is a major city in northeastern Democratic Republic of the Congo, known as a key inland port and commercial center in the central African rainforest region.
-
C.
GOMA
GOMA is a contemporary art museum known for showcasing modern and experimental artworks, often associated with major cultural institutions in cities like Brisbane and Glasgow.
-
D.
Butembo
Butembo is a major commercial city in eastern Democratic Republic of the Congo, known as a trading hub and economic center in North Kivu.
-
E.
Bunia
Bunia is a city in northeastern Democratic Republic of the Congo that has been a focal point of regional conflict and international peacekeeping efforts.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062559bcc81908942bb4d25fe8158 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f366cfc81909cca73677268821a |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:20 p.m.