Triple
T12015423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macquarie European Infrastructure Fund |
E286010
|
entity |
| Predicate | currencyExposure |
P94007
|
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: [Macquarie European Infrastructure Fund, currencyExposure, euro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyExposure Context triple: [Macquarie European Infrastructure Fund, currencyExposure, euro]
-
A.
currencyRisk
chosen
Indicates the exposure an entity has to potential financial loss or gain due to fluctuations in foreign exchange rates between currencies.
-
B.
involvesCurrency
Indicates that the relationship or action includes or pertains to the use, exchange, or specification of a particular currency.
-
C.
currencyProject
Indicates a relationship where a project is associated with, uses, or is denominated in a particular currency.
-
D.
currencyPlanned
Indicates that a specific currency is intended or scheduled to be used in a planned transaction, budget, or financial arrangement.
-
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.
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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.