Triple

T23871525
Position Surface form Disambiguated ID Type / Status
Subject Bremen Cathedral E592740 entity
Predicate diocese P2740 FINISHED
Object Evangelical Church of Bremen
The Evangelical Church of Bremen is a Protestant regional church in the German city-state of Bremen, rooted in the Reformation and part of Germany’s historic Lutheran-Reformed church landscape.
E1609387 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: Evangelical Church of Bremen | Statement: [Bremen Cathedral, diocese, Evangelical Church 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: Evangelical Church of Bremen
Triple: [Bremen Cathedral, diocese, Evangelical Church of Bremen]
Generated description
The Evangelical Church of Bremen is a Protestant regional church in the German city-state of Bremen, rooted in the Reformation and part of Germany’s historic Lutheran-Reformed church landscape.

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_69e25d23a5c88190ae3999c70ca15e08 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1cbfe1f948190ad2c0d5bbe0c7240 completed April 29, 2026, 9:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f761e1014819086e8b654a6fd3bf8 completed May 21, 2026, 9:16 p.m.
NEDg Description generation batch_6a0f76f167d08190a9e4d3abc3cc4545 completed May 21, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0f78c456dc8190869c04d4a5c00ceb completed May 21, 2026, 9:27 p.m.
Created at: April 17, 2026, 8:14 p.m.