Triple

T35978871
Position Surface form Disambiguated ID Type / Status
Subject Archdiocese of Bremen E1040500 entity
Predicate category P87 FINISHED
Object History of Bremen
The History of Bremen encompasses the political, religious, and economic development of the city and region of Bremen, Germany, from its early medieval origins as a bishopric and trading center through its role in the Hanseatic League to its modern status as a federal state.
E257455 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: History of Bremen | Statement: [Archdiocese of Bremen, category, History of Bremen]
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: History of Bremen
Triple: [Archdiocese of Bremen, category, History of Bremen]
Generated description
The History of Bremen encompasses the political, religious, and economic development of the city and region of Bremen, Germany, from its early medieval origins as a bishopric and trading center through its role in the Hanseatic League to its modern status as a federal state.

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_69f76e28293c8190ae3f4e2208b87117 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ac2e248c8190a76d696de661b220 completed May 3, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38b716686081909cc0aa278f660ceb completed June 22, 2026, 4:16 a.m.
NEDg Description generation batch_6a38b8f372f48190a922f60aaf2d2b32 completed June 22, 2026, 4:24 a.m.
NED2 Entity disambiguation (via description) batch_6a38b978107081908948a3b269db1299 completed June 22, 2026, 4:26 a.m.
Created at: May 3, 2026, 4:07 p.m.