Triple
T10732045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTL |
E253095
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Maltese lira |
E51444
|
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: Maltese lira | Statement: [MTL, currency, Maltese lira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maltese lira Context triple: [MTL, currency, Maltese lira]
-
A.
Maltese lira
chosen
The Maltese lira was the former national currency of Malta, used until it was replaced by the euro in 2008.
-
B.
Cypriot pound
The Cypriot pound was the former national currency of Cyprus, used until it was replaced by the euro in 2008.
-
C.
Corsican lira
The Corsican lira was the short-lived monetary unit used in 18th-century Corsica during its brief period of independence under the Corsican Republic.
-
D.
Tunisian dinar
The Tunisian dinar is the official monetary unit of Tunisia, subdivided into 1,000 millimes and used for all domestic financial transactions.
-
E.
Libyan dinar
The Libyan dinar is the official monetary unit of Libya, used for everyday transactions and economic activities throughout the country.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7101f35888190b88662372a7d100d |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22a97fec8190bb97f68353c2144e |
completed | April 14, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:14 p.m.