Triple

T5470748
Position Surface form Disambiguated ID Type / Status
Subject Emmerich am Rhein E122825 entity
Predicate hasLandmark P105 FINISHED
Object St. Martini Church
St. Martini Church is a historic Christian church and prominent architectural landmark in the German town of Emmerich am Rhein.
 E521899 NE FINISHED

How this triple was built (4 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. Martini Church | Statement: [Emmerich am Rhein, hasLandmark, St. Martini Church]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: St. Martini Church
Context triple: [Emmerich am Rhein, hasLandmark, St. Martini Church]
  • A. St. Jacobi Church
    St. Jacobi Church is a historic Gothic-style Lutheran church and prominent architectural landmark in the city of Göttingen, Germany.
  • B. St. Jacobi Church
    St. Jacobi Church is a historic Christian church and prominent architectural landmark in the German town of Aschersleben.
  • C. St. Marien church
    St. Marien church is a historic Christian church and prominent architectural landmark located in the town of Marienberg, Germany.
  • D. St. Lorenz Church
    St. Lorenz Church is a major medieval Gothic church in Nuremberg, Germany, renowned for its impressive architecture and significant religious artworks.
  • E. St. Marien Church
    St. Marien Church is a historic Christian church and notable architectural landmark located in the town of Lünen, Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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. Martini Church
Triple: [Emmerich am Rhein, hasLandmark, St. Martini Church]
Generated description
St. Martini Church is a historic Christian church and prominent architectural landmark in the German town of Emmerich am Rhein.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: St. Martini Church
Target entity description: St. Martini Church is a historic Christian church and prominent architectural landmark in the German town of Emmerich am Rhein.
  • A. St. Jacobi Church
    St. Jacobi Church is a historic Gothic-style Lutheran church and prominent architectural landmark in the city of Göttingen, Germany.
  • B. St. Jacobi Church
    St. Jacobi Church is a historic Christian church and prominent architectural landmark in the German town of Aschersleben.
  • C. St. Marien church
    St. Marien church is a historic Christian church and prominent architectural landmark located in the town of Marienberg, Germany.
  • D. St. Lorenz Church
    St. Lorenz Church is a major medieval Gothic church in Nuremberg, Germany, renowned for its impressive architecture and significant religious artworks.
  • E. St. Marien Church
    St. Marien Church is a historic Christian church and notable architectural landmark located in the town of Lünen, Germany.
  • F. None of above. chosen

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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd921d02188190b5c1eee7205ea88e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4893029081908a801c7a44872ebf completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf48fd9b188190a6b880ff38b1ac67 completed March 22, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_69bf496a356081909a425c14dd9c5022 completed March 22, 2026, 1:44 a.m.
Created at: March 20, 2026, 2:09 p.m.