Triple

T12142648
Position Surface form Disambiguated ID Type / Status
Subject Siegen E289225 entity
Predicate hasLandmark P105 FINISHED
Object Nikolaikirche
Nikolaikirche is a historic Protestant church in the German city of Siegen, notable for its distinctive hilltop location and characteristic architecture.
E976984 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: Nikolaikirche | Statement: [Siegen, hasLandmark, Nikolaikirche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolaikirche
Context triple: [Siegen, hasLandmark, Nikolaikirche]
  • A. Nikolaikirche
    Nikolaikirche is Berlin’s oldest church, a historic Gothic landmark located in the Nikolaiviertel district.
  • B. Nikolaikirche
    Nikolaikirche is a historic church in the German town of Eschwege, notable for its traditional architecture and role as a central Protestant parish church.
  • C. Nikolaikirche
    Nikolaikirche is a historic church in the German town of Korbach, notable for its medieval architecture and role as a prominent local landmark.
  • D. Alte Nikolaikirche
    Alte Nikolaikirche is a historic Lutheran church in Frankfurt’s old town, notable for its medieval architecture and prominent location on the Römerberg square.
  • E. Christophoruskirche
    Christophoruskirche is a historic Christian church and local landmark in the town of Altenau in Germany’s Harz region.
  • 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: Nikolaikirche
Triple: [Siegen, hasLandmark, Nikolaikirche]
Generated description
Nikolaikirche is a historic Protestant church in the German city of Siegen, notable for its distinctive hilltop location and characteristic architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nikolaikirche
Target entity description: Nikolaikirche is a historic Protestant church in the German city of Siegen, notable for its distinctive hilltop location and characteristic architecture.
  • A. Nikolaikirche
    Nikolaikirche is Berlin’s oldest church, a historic Gothic landmark located in the Nikolaiviertel district.
  • B. Nikolaikirche
    Nikolaikirche is a historic church in the German town of Eschwege, notable for its traditional architecture and role as a central Protestant parish church.
  • C. Nikolaikirche
    Nikolaikirche is a historic church in the German town of Korbach, notable for its medieval architecture and role as a prominent local landmark.
  • D. Alte Nikolaikirche
    Alte Nikolaikirche is a historic Lutheran church in Frankfurt’s old town, notable for its medieval architecture and prominent location on the Römerberg square.
  • E. Christophoruskirche
    Christophoruskirche is a historic Christian church and local landmark in the town of Altenau in Germany’s Harz region.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915a9838081909622cc14df2a2582 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a81f6708190a6a215421f8ce8dd completed May 2, 2026, 4:46 p.m.
NEDg Description generation batch_69f62be354a88190aaf5e8439b33120b completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62c8194d881909db3d320a21f2052 completed May 2, 2026, 4:55 p.m.
Created at: April 8, 2026, 9:49 p.m.