Triple
T18249052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visaltia |
E437033
|
entity |
| Predicate | partOfEurozone |
P89693
|
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, partOfEurozone, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfEurozone Context triple: [Visaltia, partOfEurozone, true]
-
A.
locatedInEurozone
chosen
Indicates that the subject entity is situated within the geographic or economic area of the Eurozone.
-
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.
monetaryUnionPartner
Indicates that two entities are members of the same monetary union, sharing a common currency or coordinated monetary policy.
-
D.
euroParticipation
Indicates that an entity takes part in or is involved with the Euro currency system or Eurozone monetary framework.
-
E.
isNotEuroMemberCurrency
Indicates that a currency does not belong to the group of official currencies used by member countries of the Eurozone.
- 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.