Triple
T1903796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VWAG |
E37751
|
entity |
| Predicate | underlyingCompanyCurrencyOfPrimaryListing |
P12372
|
FINISHED |
| Object | euro |
—
|
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: euro | Statement: [VWAG, underlyingCompanyCurrencyOfPrimaryListing, euro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingCompanyCurrencyOfPrimaryListing Context triple: [VWAG, underlyingCompanyCurrencyOfPrimaryListing, euro]
-
A.
currencyOfStockExchangeListing
Indicates the currency in which a stock exchange lists and trades a given security.
-
B.
underlyingTickerCountryCode
Indicates the country code associated with the underlying ticker to which an instrument or contract is linked.
-
C.
associatedCurrencyCode
chosen
Indicates the currency code that is linked to or used in connection with the given entity or transaction.
-
D.
underlyingCompany
Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
-
E.
countryOfUnderlyingCompany
Indicates the country in which the underlying company associated with an entity is legally established or primarily based.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafe9f8b0819086d8f6288511c66d |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.