Triple
T28572625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Burundi |
E723152
|
entity |
| Predicate | hasCapitalConnection |
P138548
|
FINISHED |
| Object | Gitega |
—
|
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: Gitega | Statement: [King of Burundi, hasCapitalConnection, Gitega]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapitalConnection Context triple: [King of Burundi, hasCapitalConnection, Gitega]
-
A.
hasCapitalConnected
Indicates that there is a direct connection or linkage between an entity and its capital city.
-
B.
hasCapitalLink
chosen
Indicates a relationship in which one entity is connected to another by being its capital (typically the capital city of a region, state, or country).
-
C.
hasMetropolitanConnectionWith
Indicates that there is a significant relationship or linkage between two entities based on shared or interacting metropolitan areas, such as through infrastructure, services, or regional integration.
-
D.
regionCapitalConnected
Indicates that a capital city is directly connected (e.g., by transport or infrastructure) to its surrounding region.
-
E.
connectsCapitalWith
Indicates a relationship where something serves as a link or route between a capital city and another place or entity.
- F. None of above.
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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: April 28, 2026, 4:10 a.m.