Triple

T25905705
Position Surface form Disambiguated ID Type / Status
Subject Central Bank of Paraguay E652744 entity
Predicate hasPart P35 FINISHED
Object superintendency of banks of Paraguay
The Superintendency of Banks of Paraguay is the national banking supervisory authority responsible for regulating and overseeing the country’s financial institutions.
E1707327 NE 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: superintendency of banks of Paraguay | Statement: [Central Bank of Paraguay, hasPart, superintendency of banks of Paraguay]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: superintendency of banks of Paraguay
Triple: [Central Bank of Paraguay, hasPart, superintendency of banks of Paraguay]
Generated description
The Superintendency of Banks of Paraguay is the national banking supervisory authority responsible for regulating and overseeing the country’s financial institutions.

Provenance (5 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_69e7ab3d3f8481909bc53ed64c06af33 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f603beb5248190aed52bf4e44f223c completed May 2, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111afbccf0819081bf92bf73f1a006 completed May 23, 2026, 3:11 a.m.
NEDg Description generation batch_6a111bd7e1188190b3275dc1efe4bfb3 completed May 23, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_6a111cbb1ed88190a4980f8fc8a0a19f completed May 23, 2026, 3:19 a.m.
Created at: April 22, 2026, 8:27 a.m.