Triple
T19837183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Kamerun campaign |
E476628
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Kamerun |
—
|
NE NERFINISHED |
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: Kamerun | Statement: [German Kamerun campaign, location, Kamerun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamerun Context triple: [German Kamerun campaign, location, Kamerun]
-
A.
Cameroon
chosen
Cameroon is a Central African country known for its cultural and linguistic diversity, varied geography from coast to rainforest and savanna, and a mixed French-English colonial heritage.
-
B.
Gabon
Gabon is a Central African country on the Atlantic coast, known for its equatorial rainforests, rich biodiversity, and significant oil reserves.
-
C.
Nazaire
Nazaire is a masculine given name of French origin, historically borne by figures such as the revolutionary-era writer and politician Fabre d’Églantine.
-
D.
Cameroon and Central African Republic
Cameroon and Central African Republic are neighboring Central African nations whose shared frontier is partly delineated by the Sangha River.
-
E.
Central African Republic
The Central African Republic is a landlocked, resource-rich but politically unstable country in Central Africa that has experienced recurrent conflict and humanitarian crises.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65802f57081909e4e94694684bda4 |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:50 p.m.