Triple
T17159996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmstruch Bank |
E416451
|
entity |
| Predicate | paperMoneyType |
P109300
|
FINISHED |
| Object | credit notes |
—
|
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: credit notes | Statement: [Palmstruch Bank, paperMoneyType, credit notes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paperMoneyType Context triple: [Palmstruch Bank, paperMoneyType, credit notes]
-
A.
banknoteMaterial
Indicates the material or substance from which a banknote is made.
-
B.
denominationType
Indicates the specific category or kind of denomination associated with an entity, such as its type within a broader classification of denominations.
-
C.
typeOfBanknotes
Indicates a relationship where one entity specifies the kind or category of banknotes associated with another entity.
-
D.
banknoteDenomination
Indicates the specific face value assigned to a banknote in a given currency.
-
E.
typeOfNotes
chosen
Indicates the specific category or kind of notes associated with an entity or context.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f9103e3881908e76cea1c4880779 |
completed | April 18, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.