Triple
T5101902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bank of Spain |
E114997
|
entity |
| Predicate | mainRegulatoryRole |
P36096
|
FINISHED |
| Object | monetary policy implementation in Spain |
—
|
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: monetary policy implementation in Spain | Statement: [Bank of Spain, mainRegulatoryRole, monetary policy implementation in Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainRegulatoryRole Context triple: [Bank of Spain, mainRegulatoryRole, monetary policy implementation in Spain]
-
A.
mainRegulatoryObjective
chosen
Indicates the primary regulatory goal or purpose that guides and justifies a regulator’s actions or framework.
-
B.
regulatoryType
Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
-
C.
regulatorsInvolved
Indicates that one or more regulatory authorities are involved in overseeing, reviewing, or influencing the referenced entity or activity.
-
D.
regulatoryField
Indicates that one entity operates within, is governed by, or is associated with a particular area or domain of regulation defined by another entity.
-
E.
alsoRegulates
Indicates that an entity not only has a primary regulatory effect on a target but additionally regulates that same target through another, supplementary regulatory relationship.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7584ed408190a6d1086588f24faa |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.