Triple
T29642249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kogo |
E755892
|
entity |
| Predicate | isInCountryMemberOf |
P103952
|
FINISHED |
| Object | African Union |
—
|
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: African Union | Statement: [Kogo, isInCountryMemberOf, African Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCountryMemberOf Context triple: [Kogo, isInCountryMemberOf, African Union]
-
A.
memberStatesAreMemberOf
Indicates that certain states belong to or hold membership in a particular organization, group, or union.
-
B.
hasRegionalOrganizationMembershipOfCountry
chosen
Indicates that a country is a member of a specified regional organization.
-
C.
countryMembershipType
Indicates the type or category of membership a country has within an organization, agreement, or grouping.
-
D.
memberOfThroughCountry
Indicates that an entity is a member of another entity (such as an organization or group) by virtue of, or via, its association with a specific country.
-
E.
existsInConstituentCountry
Indicates that one entity is located within or is present in a country that is a constituent part of a larger sovereign state.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 6:47 p.m.