Triple
T29297234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koulikoro Region |
E742864
|
entity |
| Predicate | countryCapitalLocatedWithin |
P198675
|
FINISHED |
| Object | Bamako |
—
|
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: Bamako | Statement: [Koulikoro Region, countryCapitalLocatedWithin, Bamako]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalLocatedWithin Context triple: [Koulikoro Region, countryCapitalLocatedWithin, Bamako]
-
A.
countryCapitalLocatedIn
Indicates that the capital city of a country is geographically situated within that country.
-
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.
countryCapitalOf
Indicates that a country serves as the capital location for a specified political or geographic entity.
-
D.
linksCapitalOf
Indicates that one entity serves as the capital city of another entity, typically a country, state, or region.
-
E.
countryCapitalIncludes
Indicates that a country’s capital city geographically contains or encompasses a specified place or area.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fefb15220081908da36aac386fa582 |
completed | May 9, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69fefa8e8ad48190a723fed81e9d64d0 |
completed | May 9, 2026, 9:12 a.m. |
| PDg | Predicate description generation | batch_69fefb13eb288190bcfae0541cfd7b98 |
completed | May 9, 2026, 9:15 a.m. |
Created at: April 28, 2026, 1:07 p.m.