Triple
T27979142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyprus–United Kingdom relations |
E706570
|
entity |
| Predicate | memberStateRelation |
P143098
|
FINISHED |
| Object | Commonwealth of Nations |
—
|
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: Commonwealth of Nations | Statement: [Cyprus–United Kingdom relations, memberStateRelation, Commonwealth of Nations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberStateRelation Context triple: [Cyprus–United Kingdom relations, memberStateRelation, Commonwealth of Nations]
-
A.
isMemberStateRelationOf
chosen
Indicates that one entity is a member state within, or in a member-state relationship to, another entity such as an organization, union, or federation.
-
B.
memberStatesAreMemberOf
Indicates that certain states belong to or hold membership in a particular organization, group, or union.
-
C.
memberStateSide1
Indicates that an entity participates as the first member state (or party) on one side of a bilateral or multilateral relationship or agreement.
-
D.
relationshipToState
Indicates a relationship or connection that an entity has with a particular state or governmental body.
-
E.
memberStatesType
Indicates that an entity is classified as a type or category of member states within a larger organization or grouping.
- 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 27, 2026, 7:43 p.m.