Triple
T1493275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rappen |
E29629
|
entity |
| Predicate | valueInFrancs |
P28621
|
FINISHED |
| Object | 0.01 Swiss franc |
—
|
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 Swiss franc | Statement: [Rappen, valueInFrancs, 0.01 Swiss franc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueInFrancs Context triple: [Rappen, valueInFrancs, 0.01 Swiss franc]
-
A.
monetaryValue
Indicates the amount of money associated with an entity, event, or transaction.
-
B.
cfaFrancCode
Indicates a relationship where an entity is associated with its corresponding CFA franc currency code.
-
C.
currencyProject
Indicates a relationship where a project is associated with, uses, or is denominated in a particular currency.
-
D.
faceValueUnit
Indicates the unit of measurement in which the face value of something (such as a financial instrument or item) is expressed.
-
E.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c665488190ae665f7a1b0563f5 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52c703c8190a56389b09d97659f |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8:12 p.m.