Triple
T16936014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Göcek |
E410827
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Turkish lira |
E84724
|
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: Turkish lira | Statement: [Göcek, currency, Turkish lira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turkish lira Context triple: [Göcek, currency, Turkish lira]
-
A.
Turkish lira
chosen
The Turkish lira is the official currency of Turkey, used for everyday transactions, banking, and pricing throughout the country.
-
B.
Ottoman lira
The Ottoman lira was the principal monetary unit of the late Ottoman Empire, used from the mid-19th century until the empire’s dissolution in the early 20th century.
-
C.
Ottoman akçe
The Ottoman akçe was a small silver coin that served for centuries as the principal monetary unit of the Ottoman Empire before later reforms introduced larger denominations.
-
D.
Kazakhstani tenge
The Kazakhstani tenge is the official currency of Kazakhstan, introduced after the country gained independence from the Soviet Union.
-
E.
Azerbaijani manat
The Azerbaijani manat is the official fiat currency of Azerbaijan, used for everyday transactions and issued by the Central Bank of Azerbaijan.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2a05f48190a0a8ac86985f4000 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b3bb69081908805c30d50242eb6 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:30 a.m.