Triple
T29100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albufeira |
E580
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Euro |
E12559
|
NE 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: Euro | Statement: [Albufeira, currency, Euro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euro Context triple: [Albufeira, currency, Euro]
-
A.
Euro
chosen
The Euro is the official common currency used by many countries in the European Union, facilitating trade and travel across much of Europe.
-
B.
Eurozone
The Eurozone is the group of European Union countries that have adopted the euro as their common official currency and share a unified monetary policy.
-
C.
European Union
The European Union is a political and economic union of European countries that collectively form one of the world’s largest single markets and play a major role in global diplomacy and governance.
-
D.
Europe
Europe is a diverse continent in the Northern Hemisphere known for its rich history, cultural heritage, and significant influence on global politics, economics, and science.
-
E.
Schengen Area
The Schengen Area is a zone of European countries that have abolished internal border controls to allow passport-free movement of people across most of the continent.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a248751fa88190992b6262a44b54f3 |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2981b3b508190a4cb062e4ada7891 |
completed | Feb. 28, 2026, 7:24 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.