Triple
T17931822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Force Publique |
E448350
|
entity |
| Predicate | operatedIn |
P40
|
FINISHED |
| Object | Katanga |
—
|
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: Katanga | Statement: [Force Publique, operatedIn, Katanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katanga Context triple: [Force Publique, operatedIn, Katanga]
-
A.
Katanga
chosen
Katanga is a mineral-rich region in the southeastern part of the Democratic Republic of the Congo, historically known for its attempted secession in the early 1960s and significant role in the country’s political conflicts.
-
B.
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.
-
C.
Kongō
Kongō was a Japanese Kongō-class fast battleship that served prominently in the Imperial Japanese Navy during World War II.
-
D.
Congo
Congo is a Central African country whose economy is heavily reliant on oil production and exports.
-
E.
Loango
Loango refers to a historical Bakongo subgroup and kingdom located along the Atlantic coast of Central Africa, in what is now primarily the Republic of the Congo.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a552bb848190871251474cc208d5 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.