Triple
T12890033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuban centavo |
E308334
|
entity |
| Predicate | valueInMainUnit |
P51035
|
FINISHED |
| Object | 0.01 Cuban 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: 0.01 Cuban peso | Statement: [Cuban centavo, valueInMainUnit, 0.01 Cuban peso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueInMainUnit Context triple: [Cuban centavo, valueInMainUnit, 0.01 Cuban peso]
-
A.
valueRelativeToMainUnit
chosen
Indicates how a value is expressed in relation to a primary or reference unit, such as a main measurement or base quantity.
-
B.
valueSI
Indicates that an entity has a quantitative value expressed in SI (International System of Units) units.
-
C.
numberOfUnits
Indicates the quantity or count of discrete units associated with an entity or relationship.
-
D.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
E.
measuredValue
Indicates that a specific quantitative value has been obtained as the result of a measurement of some property or phenomenon.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714581988190afc720ffd7797860 |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:39 p.m.