Triple
T11041821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamaican pound |
E261035
|
entity |
| Predicate | conversionRateToSuccessor |
P21290
|
FINISHED |
| Object | 1 Jamaican dollar = 10 shillings |
—
|
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: 1 Jamaican dollar = 10 shillings | Statement: [Jamaican pound, conversionRateToSuccessor, 1 Jamaican dollar = 10 shillings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionRateToSuccessor Context triple: [Jamaican pound, conversionRateToSuccessor, 1 Jamaican dollar = 10 shillings]
-
A.
conversionTarget
Indicates that one entity serves as the intended outcome, goal, or result that another entity is meant to be converted or transformed into.
-
B.
convertedBy
Indicates that one entity has been transformed or changed in form, state, or representation through the action or process performed by another entity.
-
C.
eraOfConversion
Indicates the specific historical period or era during which the conversion event or change took place.
-
D.
conversionBasis
chosen
Indicates the reference standard, rate, or unit system used as the foundation for converting one quantity, unit, or representation into another.
-
E.
conversionPolicy
Indicates the rules or conditions that govern how one thing is converted or transformed into another.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7980134c8819098122d83380a1f79 |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d74407cb088190ba37c8da3d342b64 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.