Triple

T20617093
Position Surface form Disambiguated ID Type / Status
Subject Saint Nicholas Church, Kolding E506594 entity
Predicate parish P2739 FINISHED
Object Sankt Nicolai Sogn
Sankt Nicolai Sogn is a Danish parish centered around the historic Saint Nicholas Church in the city of Kolding.
E1440730 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: Sankt Nicolai Sogn | Statement: [Saint Nicholas Church, Kolding, parish, Sankt Nicolai Sogn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sankt Nicolai Sogn
Context triple: [Saint Nicholas Church, Kolding, parish, Sankt Nicolai Sogn]
  • A. Hammershus Sogn
    Hammershus Sogn is a parish in Denmark that encompasses the historic medieval fortress of Hammershus on the island of Bornholm.
  • B. Nakskov
    Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
  • C. Søllerød
    Søllerød is a locality in Rudersdal Municipality, north of Copenhagen in eastern Denmark, known for its affluent residential areas and scenic natural surroundings.
  • D. Solrød
    Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
  • E. Vildbjerg
    Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark 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: Sankt Nicolai Sogn
Triple: [Saint Nicholas Church, Kolding, parish, Sankt Nicolai Sogn]
Generated description
Sankt Nicolai Sogn is a Danish parish centered around the historic Saint Nicholas Church in the city of Kolding.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sankt Nicolai Sogn
Target entity description: Sankt Nicolai Sogn is a Danish parish centered around the historic Saint Nicholas Church in the city of Kolding.
  • A. Hammershus Sogn
    Hammershus Sogn is a parish in Denmark that encompasses the historic medieval fortress of Hammershus on the island of Bornholm.
  • B. Nakskov
    Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
  • C. Søllerød
    Søllerød is a locality in Rudersdal Municipality, north of Copenhagen in eastern Denmark, known for its affluent residential areas and scenic natural surroundings.
  • D. Solrød
    Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
  • E. Vildbjerg
    Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aadd30b88190af3a05527ad5ac64 completed April 20, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb1588a881909f7197bfc38d9e21 completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bba2e85881909ae887fc5bc3121f completed May 16, 2026, 6:46 p.m.
NED2 Entity disambiguation (via description) batch_6a08bc410f008190b00bf4956d591176 completed May 16, 2026, 6:49 p.m.
Created at: April 16, 2026, 11:41 a.m.