Triple
T23805894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nynäshamn–Gdańsk route |
E589705
|
entity |
| Predicate | currencyAtTerminus |
P115600
|
FINISHED |
| Object | Swedish krona |
—
|
NE NERFINISHED |
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: Swedish krona | Statement: [Nynäshamn–Gdańsk route, currencyAtTerminus, Swedish krona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyAtTerminus Context triple: [Nynäshamn–Gdańsk route, currencyAtTerminus, Swedish krona]
-
A.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
B.
currencyGiven
Indicates that one entity transfers or provides money or a monetary unit to another entity.
-
C.
currencyUsedFor
chosen
Indicates that a particular currency is used as the medium of exchange or legal tender for a given entity, such as a country, region, or organization.
-
D.
currencyOnboard
Indicates that a particular currency has been enabled, registered, or made available for use within a given system or context.
-
E.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
- 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_69e25d19fecc8190a5cf39bbb18d5d7f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c75206a88190b6e35da289471c27 |
completed | April 29, 2026, 8:54 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:56 p.m.