Triple
T16886109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebola River |
E421543
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object | Yambuku |
E414772
|
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: Yambuku | Statement: [Ebola River, nearSettlement, Yambuku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yambuku Context triple: [Ebola River, nearSettlement, Yambuku]
-
A.
Yambuku, Zaire
chosen
Yambuku, Zaire was a small rural village in northern Zaire (now the Democratic Republic of the Congo) that became historically significant as the site of the first known outbreak of Ebola virus disease in 1976.
-
B.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
-
C.
Ngoumbi
Ngoumbi is an alternative name for the Kombe people, an ethnic group of Central Africa.
-
D.
Lambaréné
Lambaréné is a town in western Gabon best known for its location on the Ogooué River and for hosting the historic Albert Schweitzer Hospital.
-
E.
Nkroful
Nkroful is a village in Ghana best known as the birthplace of the country's first president and independence leader, Kwame Nkrumah.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc126e881909dae8133ad34acc9 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2bcf290819098be9def471e02b8 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.