Triple
T18284313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Rican peso |
E437942
|
entity |
| Predicate | currencyNameElement |
P98839
|
FINISHED |
| Object | peso |
—
|
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: peso | Statement: [Costa Rican peso, currencyNameElement, peso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyNameElement Context triple: [Costa Rican peso, currencyNameElement, peso]
-
A.
currencyOfName
chosen
Indicates that one entity is the name (textual designation) of a particular currency associated with another entity.
-
B.
currencyNameEnglish
Indicates the English-language name used to refer to a given currency.
-
C.
currencyNameLocalScript
Indicates that a currency’s name is given in the local or native writing system of the region where it is used.
-
D.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
E.
currencyForm
Indicates that one entity is a specific monetary form, denomination, or variant of the currency represented by the other entity.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500f7ff088190933bb8f403ce7f9c |
completed | April 19, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.