Triple
T8069353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aruban florin |
E188328
|
entity |
| Predicate | regionMonetaryUnionMembership |
P49469
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Aruban florin, regionMonetaryUnionMembership, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionMonetaryUnionMembership Context triple: [Aruban florin, regionMonetaryUnionMembership, none]
-
A.
monetaryUnionPartner
chosen
Indicates that two entities are members of the same monetary union, sharing a common currency or coordinated monetary policy.
-
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.
countryOfUnion
Indicates that a given country is a member or constituent state of a specified union or supranational organization.
-
D.
EUMemberState
Indicates that an entity is a country that is a member state of the European Union.
-
E.
formerCurrencyUnion
Indicates that two or more entities were once part of the same currency union, but that monetary union has since been dissolved.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ffbd59c8190a34398ddb4ee551e |
completed | March 31, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:27 p.m.