Triple

T27466046
Position Surface form Disambiguated ID Type / Status
Subject Maximilian Schrems E693179 entity
Predicate founded P104 FINISHED
Object noyb – European Center for Digital Rights
noyb – European Center for Digital Rights is a Vienna-based non-profit organization that focuses on enforcing and strengthening data protection and privacy rights in Europe, particularly under the GDPR.
 E1774312 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: noyb – European Center for Digital Rights | Statement: [Maximilian Schrems, founded, noyb – European Center for Digital Rights]
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: noyb – European Center for Digital Rights
Triple: [Maximilian Schrems, founded, noyb – European Center for Digital Rights]
Generated description
noyb – European Center for Digital Rights is a Vienna-based non-profit organization that focuses on enforcing and strengthening data protection and privacy rights in Europe, particularly under the GDPR.

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_69ef538105548190a771cc5a0cf8c211 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62dfd746481908fead735f9ccd021 completed May 2, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbdee4888190a2cc72407ad6cb56 completed May 24, 2026, 8:50 a.m.
NEDg Description generation batch_6a12bc906eb481908d12f171b1230dbe completed May 24, 2026, 8:53 a.m.
NED2 Entity disambiguation (via description) batch_6a12bd3f12b481908606b8e373ff408a completed May 24, 2026, 8:56 a.m.
Created at: April 27, 2026, 12:52 p.m.