Triple

T27849908
Position Surface form Disambiguated ID Type / Status
Subject Evangelische Kirchengemeinde St. Marien – Friedrichswerder E703921 entity
Predicate hasParishNamePart P115858 FINISHED
Object St. Marien
St. Marien is a Protestant parish church community associated with the Evangelische Kirchengemeinde St. Marien – Friedrichswerder in Berlin.
 E1793709 NE FINISHED

How this triple was built (3 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: St. Marien | Statement: [Evangelische Kirchengemeinde St. Marien – Friedrichswerder, hasParishNamePart, St. Marien]
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: St. Marien
Triple: [Evangelische Kirchengemeinde St. Marien – Friedrichswerder, hasParishNamePart, St. Marien]
Generated description
St. Marien is a Protestant parish church community associated with the Evangelische Kirchengemeinde St. Marien – Friedrichswerder in Berlin.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasParishNamePart
Context triple: [Evangelische Kirchengemeinde St. Marien – Friedrichswerder, hasParishNamePart, St. Marien]
  • A. parishName chosen
    Indicates that an entity has the specified parish as its official or recorded name.
  • B. hasCivilParishName
    Indicates that an entity has a specific civil parish name as its designated official name at the civil parish level.
  • C. parishWith
    Indicates that one entity is associated with, belongs to, or is administered together with another entity as part of the same parish.
  • D. mainParishOf
    Indicates that one parish serves as the primary or central parish associated with a given entity or area.
  • E. parishIncludes
    Indicates that a parish geographically or administratively contains or encompasses another entity or area.
  • F. None of above.

Provenance (6 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_69ef840e614c8190a88cf9638c14a265 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69fbad1e94988190b86d447a68e65067 completed May 6, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13034921c48190b2c0376de91cf84e completed May 24, 2026, 1:55 p.m.
NEDg Description generation batch_6a1304d193f48190a19d6adbf3542088 completed May 24, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_6a13057d68408190bb5e5855121f5195 completed May 24, 2026, 2:04 p.m.
PD Predicate disambiguation batch_69fba881b8e0819094790935152b99a1 completed May 6, 2026, 8:45 p.m.
Created at: April 27, 2026, 6:10 p.m.