Triple
T5454114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heart of Darkness |
E122437
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | African Congo |
E45036
|
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: African Congo | Statement: [Heart of Darkness, setting, African Congo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: African Congo Context triple: [Heart of Darkness, setting, African Congo]
-
A.
Kongo
Kongo refers to the Central African ethnic and cultural group and historical kingdom whose traditions and beliefs have significantly influenced Afro-diasporic religions in the Americas.
-
B.
Congo
chosen
Congo is a Central African country whose economy is heavily reliant on oil production and exports.
-
C.
Kongō
Kongō was a Japanese Kongō-class fast battleship that served prominently in the Imperial Japanese Navy during World War II.
-
D.
Kongo Jungle
Kongo Jungle is a lush, tropical jungle region in the Donkey Kong video game series, often serving as the iconic home and starting area for Donkey Kong and his friends.
-
E.
Middle Congo
Middle Congo was a former French colonial territory in Central Africa that later became the independent Republic of the Congo (Congo-Brazzaville).
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91ed9a388190967e7ffaf9dbadc6 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf41433abc8190998bdb0fa8b18041 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:08 p.m.