Triple
T33292796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cypriot passports |
E852358
|
entity |
| Predicate | memberStatePassportOf |
P192079
|
FINISHED |
| Object | European 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: European Union | Statement: [Cypriot passports, memberStatePassportOf, European Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberStatePassportOf Context triple: [Cypriot passports, memberStatePassportOf, European Union]
-
A.
memberStatesAreMemberOf
Indicates that certain states belong to or hold membership in a particular organization, group, or union.
-
B.
UNMemberStateCitizenship
Indicates that an individual holds citizenship in a country that is a member state of the United Nations.
-
C.
isCitizenOf
Indicates that a person holds legal nationality or citizenship status in a particular country or state.
-
D.
memberStateBorderOf
Indicates that a political subdivision or member state shares a boundary with a specified larger political entity or organization.
-
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. 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69fcf36bb86c8190a0a0ccf47cb56e5c |
completed | May 7, 2026, 8:17 p.m. |
Created at: May 1, 2026, 1:33 a.m.