Triple
T34908471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Africa/Kinshasa |
E1006795
|
entity |
| Predicate | isInCentralAfrica |
P181851
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Africa/Kinshasa, isInCentralAfrica, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCentralAfrica Context triple: [Africa/Kinshasa, isInCentralAfrica, true]
-
A.
locatedInWesternAfrica
Indicates that the subject is geographically situated within the region of Western Africa.
-
B.
SahelCountry
Indicates that a country is geographically located in, or commonly considered part of, the Sahel region of Africa.
-
C.
CEMACMember
Indicates that an entity is a member state or participant within the Central African Economic and Monetary Community (CEMAC).
-
D.
SouthernAfricanDevelopmentCommunityMember
Indicates that an entity is a member state or participant in the Southern African Development Community (SADC).
-
E.
hasAfricanSetting
Indicates that the setting or location of the subject is situated in Africa.
- F. None of above. chosen
Provenance (4 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782cf61948190b98185d961609554 |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782c848fc8190baea8c845ca9079f |
completed | May 3, 2026, 5:15 p.m. |
Created at: May 3, 2026, 4 p.m.