Triple
T7710874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christiansted |
E174746
|
entity |
| Predicate | localCurrency |
P78277
|
FINISHED |
| Object | United States dollar |
—
|
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: United States dollar | Statement: [Christiansted, localCurrency, United States dollar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localCurrency Context triple: [Christiansted, localCurrency, United States dollar]
-
A.
currencyNameLocalScript
Indicates that a currency’s name is given in the local or native writing system of the region where it is used.
-
B.
currencyCountry
Indicates that a given currency is officially used as legal tender in a particular country.
-
C.
currencyGiven
Indicates that one entity transfers or provides money or a monetary unit to another entity.
-
D.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
E.
currencyContext
Indicates that a particular monetary value or transaction is expressed, interpreted, or valid within a specified currency framework or setting.
- F. None of above. chosen
Provenance (4 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c702e9a32081909a153190a62af426 |
completed | March 27, 2026, 10:21 p.m. |
Created at: March 27, 2026, 4:04 p.m.