Triple
T1263936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euro |
E12559
|
entity |
| Predicate | replacedCurrency |
P2867
|
FINISHED |
| Object |
Lithuanian litas
The Lithuanian litas was the former national currency of Lithuania, used until the country adopted the euro in 2015.
|
E147095
|
NE FINISHED |
How this triple was built (4 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: Lithuanian litas | Statement: [Euro, replacedCurrency, Lithuanian litas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lithuanian litas Context triple: [Euro, replacedCurrency, Lithuanian litas]
-
A.
Latvian lats
The Latvian lats was the national currency of Latvia until it was replaced by the euro in 2014.
-
B.
Estonian kroon
The Estonian kroon was the former national currency of Estonia, used from 1992 until the country adopted the euro in 2011.
-
C.
Belarusian ruble
The Belarusian ruble is the official currency of Belarus, introduced after the country gained independence from the Soviet Union.
-
D.
Moldovan leu
The Moldovan leu is the official monetary unit of Moldova, used for everyday transactions and financial operations within the country.
-
E.
Ukrainian hryvnia
The Ukrainian hryvnia is the national currency of Ukraine, introduced in 1996 to replace the karbovanets and stabilize the country’s post-Soviet economy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lithuanian litas Triple: [Euro, replacedCurrency, Lithuanian litas]
Generated description
The Lithuanian litas was the former national currency of Lithuania, used until the country adopted the euro in 2015.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lithuanian litas Target entity description: The Lithuanian litas was the former national currency of Lithuania, used until the country adopted the euro in 2015.
-
A.
Latvian lats
The Latvian lats was the national currency of Latvia until it was replaced by the euro in 2014.
-
B.
Estonian kroon
The Estonian kroon was the former national currency of Estonia, used from 1992 until the country adopted the euro in 2011.
-
C.
Belarusian ruble
The Belarusian ruble is the official currency of Belarus, introduced after the country gained independence from the Soviet Union.
-
D.
Moldovan leu
The Moldovan leu is the official monetary unit of Moldova, used for everyday transactions and financial operations within the country.
-
E.
Ukrainian hryvnia
The Ukrainian hryvnia is the national currency of Ukraine, introduced in 1996 to replace the karbovanets and stabilize the country’s post-Soviet economy.
- F. None of above. chosen
Provenance (5 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc8d6908190a5b2cf1051cc6d5e |
completed | March 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacb5b8888190aa969c0d8cc3fd0d |
completed | March 7, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69acad018a6881908a4c10920f377484 |
completed | March 7, 2026, 10:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acad6489448190b7b3dff089a17145 |
completed | March 7, 2026, 10:57 p.m. |
Created at: March 1, 2026, 7:50 p.m.