Triple
T20530643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsche Mark in Kosovo |
E504056
|
entity |
| Predicate | statusAfterEuro |
P64904
|
FINISHED |
| Object | phased out of circulation in Kosovo |
—
|
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: phased out of circulation in Kosovo | Statement: [Deutsche Mark in Kosovo, statusAfterEuro, phased out of circulation in Kosovo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfterEuro Context triple: [Deutsche Mark in Kosovo, statusAfterEuro, phased out of circulation in Kosovo]
-
A.
legalStatusAfterEuro
chosen
Indicates the legal status or regulatory condition that applies to an entity after the introduction or adoption of the euro.
-
B.
adoptedEuro
Indicates that a country or entity has officially adopted the euro as its legal currency.
-
C.
euroParticipation
Indicates that an entity takes part in or is involved with the Euro currency system or Eurozone monetary framework.
-
D.
peggedToEuroSince
Indicates that the value of one currency or financial instrument has been fixed or tightly linked to the euro starting from a specific point in time.
-
E.
statusAfterFranco
Indicates the status or condition of an entity following the period or rule associated with Franco.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06b923c81908ba24be6645a7c61 |
completed | April 20, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:37 a.m.