Triple

T4088237
Position Surface form Disambiguated ID Type / Status
Subject Kampen E87640 entity
Predicate hasNotableStructure P105 FINISHED
Object Bovenkerk
Bovenkerk is a prominent historic church in the Dutch city of Kampen, known for its Gothic architecture and significant cultural and religious heritage.
E653718 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: Bovenkerk | Statement: [Kampen, hasNotableStructure, Bovenkerk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bovenkerk
Context triple: [Kampen, hasNotableStructure, Bovenkerk]
  • A. Grijpskerke
    Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
  • B. Oldekerk
    Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
  • C. Kleverskerke
    Kleverskerke is a small village in the Dutch province of Zeeland, located in the southwestern Netherlands.
  • D. Hoedekenskerke
    Hoedekenskerke is a small village in the Dutch province of Zeeland, known for its rural character and location along the Western Scheldt.
  • E. Kesteren
    Kesteren is a village in the Dutch province of Gelderland, situated along the Nederrijn river in the central Netherlands.
  • 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: Bovenkerk
Triple: [Kampen, hasNotableStructure, Bovenkerk]
Generated description
Bovenkerk is a prominent historic church in the Dutch city of Kampen, known for its Gothic architecture and significant cultural and religious heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bovenkerk
Target entity description: Bovenkerk is a prominent historic church in the Dutch city of Kampen, known for its Gothic architecture and significant cultural and religious heritage.
  • A. Grijpskerke
    Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
  • B. Oldekerk
    Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
  • C. Kleverskerke
    Kleverskerke is a small village in the Dutch province of Zeeland, located in the southwestern Netherlands.
  • D. Hoedekenskerke
    Hoedekenskerke is a small village in the Dutch province of Zeeland, known for its rural character and location along the Western Scheldt.
  • E. Kesteren
    Kesteren is a village in the Dutch province of Gelderland, situated along the Nederrijn river in the central Netherlands.
  • 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_69c7daed5d188190b499151e636d206d completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7dbc1ff0c8190bc7639a74a5d3af3 completed March 28, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc6873a081908ea4e953430ec20b completed March 28, 2026, 1:49 p.m.
Created at: March 9, 2026, 3:39 p.m.