Triple
T31034925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calcutta Cup |
E790827
|
entity |
| Predicate | usesCurrencyMotif |
P190499
|
FINISHED |
| Object | Indian rupee origin |
—
|
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: Indian rupee origin | Statement: [Calcutta Cup, usesCurrencyMotif, Indian rupee origin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCurrencyMotif Context triple: [Calcutta Cup, usesCurrencyMotif, Indian rupee origin]
-
A.
usesCurrency
Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
-
B.
usesCurrencyInitially
Indicates that an entity originally adopts or operates with a particular currency at the start of a defined period or process.
-
C.
usesCurrentCurrenciesOf
Indicates that one entity adopts and operates with the same official currencies that are currently in use in another entity.
-
D.
currencyFamily
Indicates that two currencies belong to the same broader monetary family or classification, typically sharing a common origin, standard, or structural framework.
-
E.
currency
Indicates that one entity serves as the medium of exchange or monetary unit used by another entity (such as a country, region, or system).
- 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_69f224c97a788190b5da1ead6038a74e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: April 29, 2026, 8:59 p.m.