Triple
T18249051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visaltia |
E437033
|
entity |
| Predicate | partOfEuropeanUnion |
P10153
|
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: [Visaltia, partOfEuropeanUnion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfEuropeanUnion Context triple: [Visaltia, partOfEuropeanUnion, true]
-
A.
hasEuropeanUnionMembershipThrough
Indicates that an entity holds membership in the European Union indirectly or by virtue of another entity (such as a state, territory, or organization) through which that membership is conferred.
-
B.
eurozoneMember
Indicates that an entity is a country that belongs to the Eurozone, i.e., it uses the euro as its official currency within the European Union’s monetary union.
-
C.
EUMemberState
Indicates that an entity is a country that is a member state of the European Union.
-
D.
europeanUnionStatus
chosen
Indicates whether an entity is a member of, associated with, or otherwise holds a defined status in relation to the European Union.
-
E.
EuropeanAffiliation
Indicates that an entity is associated with Europe, such as by membership, origin, operation, or jurisdiction within European countries or institutions.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd7fa3708190baefd8d938d20807 |
completed | April 19, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:33 a.m.