Triple
T27794640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pesewa |
E701172
|
entity |
| Predicate | representsFraction |
P12374
|
FINISHED |
| Object | one-hundredth of a Ghanaian cedi |
—
|
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: one-hundredth of a Ghanaian cedi | Statement: [pesewa, representsFraction, one-hundredth of a Ghanaian cedi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsFraction Context triple: [pesewa, representsFraction, one-hundredth of a Ghanaian cedi]
-
A.
hasFraction
chosen
Indicates that one entity represents a fractional part or proportion of another entity.
-
B.
divisionRepresentation
Indicates a relationship where one entity serves as a symbolic, visual, or structural representation of a division or partition of another entity.
-
C.
hasIntegralRepresentation
Indicates that one entity can be expressed or represented as an integral involving the other entity.
-
D.
firstPartRepresents
Indicates that the initial segment or portion of something stands for, symbolizes, or denotes a larger whole or specific concept.
-
E.
hasDenominatorFactor
Indicates that one value appears as a factor in the denominator of another value or expression.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 27, 2026, 5:30 p.m.