Triple
T25322700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banjul Charter |
E634927
|
entity |
| Predicate | adoptionContinent |
P94829
|
FINISHED |
| Object | Africa |
—
|
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: Africa | Statement: [Banjul Charter, adoptionContinent, Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptionContinent Context triple: [Banjul Charter, adoptionContinent, Africa]
-
A.
continentOfAdoption
chosen
Indicates the continent on which an adoption takes place or to which an adoption is geographically attributed.
-
B.
adoptionCountry
Indicates the country in which the adoption of an entity (such as a person, animal, or item) legally took place.
-
C.
globalAdoption
Indicates that something has been accepted, implemented, or used worldwide across many or all regions or populations.
-
D.
otherContinent
Indicates that two entities are located on different continents from one another.
-
E.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another 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_69e75a9908108190a95427a97020632a |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4969035ac8190a35a8f6c4e4685a7 |
completed | May 1, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:29 p.m.