Triple
T19969486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wörgl |
E480031
|
entity |
| Predicate | hasLocalCurrencyExperiment |
P10274
|
FINISHED |
| Object | Wörgl stamp scrip |
—
|
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: Wörgl stamp scrip | Statement: [Wörgl, hasLocalCurrencyExperiment, Wörgl stamp scrip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalCurrencyExperiment Context triple: [Wörgl, hasLocalCurrencyExperiment, Wörgl stamp scrip]
-
A.
usesCurrencyInitially
Indicates that an entity originally adopts or operates with a particular currency at the start of a defined period or process.
-
B.
localCurrency
Indicates that a particular currency is officially used or recognized as the standard medium of exchange within a specific locality, region, or country.
-
C.
usesCurrency
Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
-
D.
usesLocalLanguageVariant
Indicates that an entity employs a region-specific or localized form of a language rather than a standard or global variant.
-
E.
usesSupplementaryCurrency
chosen
Indicates that an entity employs an additional, non-primary currency alongside its main currency for transactions or value exchange.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc7c2fc81909b89c549a5f99e4c |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.