Triple
T1251999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Africa/Bujumbura |
E26895
|
entity |
| Predicate | linkedCountryCapital |
P17571
|
FINISHED |
| Object | former capital of Burundi |
—
|
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: former capital of Burundi | Statement: [Africa/Bujumbura, linkedCountryCapital, former capital of Burundi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedCountryCapital Context triple: [Africa/Bujumbura, linkedCountryCapital, former capital of Burundi]
-
A.
homeCountryCapital
chosen
Indicates that a given city is the capital of a specified country that serves as an entity’s home or origin.
-
B.
countryCapitalLocatedOn
Indicates that the capital city of a country is situated on or directly adjacent to a specified geographic feature (such as a river, coast, or lake).
-
C.
regionalOrganizationCapital
Indicates that a city serves as the capital or administrative center of a specified regional organization.
-
D.
countryCapitalOf
Indicates that a country serves as the capital location for a specified political or geographic entity.
-
E.
timeInCapital
Indicates that a specified amount of time is spent or occurs within the capital city of a given political or administrative 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf85e1e08190ba6aac3fcd8bb3e7 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.