Triple
T375920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyprus |
E8372
|
entity |
| Predicate | eurozoneMember |
P13086
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Cyprus, eurozoneMember, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eurozoneMember Context triple: [Cyprus, eurozoneMember, true]
-
A.
EUMemberState
Indicates that an entity is a country that is a member state of the European Union.
-
B.
EuropeanAffiliation
Indicates that an entity is associated with Europe, such as by membership, origin, operation, or jurisdiction within European countries or institutions.
-
C.
OECDMember
Indicates that an entity is a member country or participant in the Organisation for Economic Co-operation and Development (OECD).
-
D.
europeanUnionStatus
Indicates whether an entity is a member of, associated with, or otherwise holds a defined status in relation to the European Union.
-
E.
europeanRegion
Indicates that an entity is located in, associated with, or classified as part of a region within Europe.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec169a848190a577aa093c878839 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96216048190873ae533fa5b864d |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ebcb1b2c8190a68bb3bad600c227 |
completed | Feb. 28, 2026, 1:21 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.