Triple

T4088264
Position Surface form Disambiguated ID Type / Status
Subject Kampen E87640 entity
Predicate hasReligiousBuilding P1191 FINISHED
Object Buitenkerk
Buitenkerk is a historic medieval church in the Dutch city of Kampen, known for its Gothic architecture and cultural significance.
 E413743 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: Buitenkerk | Statement: [Kampen, hasReligiousBuilding, Buitenkerk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buitenkerk
Context triple: [Kampen, hasReligiousBuilding, Buitenkerk]
  • A. Ridderkerk
    Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
  • B. Domkerk
    Domkerk is the historic Gothic cathedral in Utrecht that once served as the seat of the bishop and remains one of the city's most prominent landmarks.
  • C. Begijnhof
    Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
  • D. Oostkerk
    Oostkerk is a historic domed Protestant church in the Dutch city of Middelburg, known for its distinctive centralised Baroque architecture.
  • E. Oosterpark
    Oosterpark is a large public park in Amsterdam known for its ponds, walking paths, cultural monuments, and diverse, lively atmosphere.
  • 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: Buitenkerk
Triple: [Kampen, hasReligiousBuilding, Buitenkerk]
Generated description
Buitenkerk is a historic medieval church in the Dutch city of Kampen, known for its Gothic architecture and cultural significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buitenkerk
Target entity description: Buitenkerk is a historic medieval church in the Dutch city of Kampen, known for its Gothic architecture and cultural significance.
  • A. Ridderkerk
    Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
  • B. Domkerk
    Domkerk is the historic Gothic cathedral in Utrecht that once served as the seat of the bishop and remains one of the city's most prominent landmarks.
  • C. Begijnhof
    Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
  • D. Oostkerk
    Oostkerk is a historic domed Protestant church in the Dutch city of Middelburg, known for its distinctive centralised Baroque architecture.
  • E. Oosterpark
    Oosterpark is a large public park in Amsterdam known for its ponds, walking paths, cultural monuments, and diverse, lively atmosphere.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefca899008190b5ada98bdb79639f completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b6335c4819093538f261a5093b3 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56f249fa08190b14793f298ed160c completed March 14, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69b56f91065c8190bd6767249109d715 completed March 14, 2026, 2:24 p.m.
Created at: March 9, 2026, 3:39 p.m.