Triple

T30134061
Position Surface form Disambiguated ID Type / Status
Subject Sonnenstein killing center E765934 entity
Predicate relatedTo P37 FINISHED
Object Brandenburg killing center
The Brandenburg killing center was one of Nazi Germany’s early euthanasia facilities where people with disabilities and other targeted groups were systematically murdered as part of the T4 program.
E1933870 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: Brandenburg killing center | Statement: [Sonnenstein killing center, relatedTo, Brandenburg killing center]
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: Brandenburg killing center
Triple: [Sonnenstein killing center, relatedTo, Brandenburg killing center]
Generated description
The Brandenburg killing center was one of Nazi Germany’s early euthanasia facilities where people with disabilities and other targeted groups were systematically murdered as part of the T4 program.

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_69f22477d1a081908df2b7e6ed16859d completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67e4a4b5c8190b5bc97169f9153de completed May 2, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbbc0424819095eb85c2dd484afb completed June 10, 2026, 1:19 a.m.
NEDg Description generation batch_6a28bec1fec881909c9d5dc3f122e7aa completed June 10, 2026, 1:32 a.m.
NED2 Entity disambiguation (via description) batch_6a28bf2a2d608190b555b997b268d819 completed June 10, 2026, 1:34 a.m.
Created at: April 29, 2026, 7:16 p.m.