Triple

T6560707
Position Surface form Disambiguated ID Type / Status
Subject Krimpenerwaard E152574 entity
Predicate formedByMergerOf P77 FINISHED
Object Ouderkerk
Ouderkerk was a former Dutch municipality in the province of South Holland that later became part of the municipality of Krimpenerwaard.
 E600256 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: Ouderkerk | Statement: [Krimpenerwaard, formedByMergerOf, Ouderkerk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ouderkerk
Context triple: [Krimpenerwaard, formedByMergerOf, Ouderkerk]
  • A. Oostkerk
    Oostkerk is a historic domed Protestant church in the Dutch city of Middelburg, known for its distinctive centralised Baroque architecture.
  • B. Oldekerk
    Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
  • C. Grijpskerk
    Grijpskerk is a village in the Dutch province of Groningen, known historically as a local agricultural and railway hub.
  • D. 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.
  • E. Ridderkerk
    Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
  • 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: Ouderkerk
Triple: [Krimpenerwaard, formedByMergerOf, Ouderkerk]
Generated description
Ouderkerk was a former Dutch municipality in the province of South Holland that later became part of the municipality of Krimpenerwaard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ouderkerk
Target entity description: Ouderkerk was a former Dutch municipality in the province of South Holland that later became part of the municipality of Krimpenerwaard.
  • A. Oostkerk
    Oostkerk is a historic domed Protestant church in the Dutch city of Middelburg, known for its distinctive centralised Baroque architecture.
  • B. Oldekerk
    Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
  • C. Grijpskerk
    Grijpskerk is a village in the Dutch province of Groningen, known historically as a local agricultural and railway hub.
  • D. 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.
  • E. Ridderkerk
    Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae37a5b0819091692fc5def270b9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb90ffd48190996a64d79f516e2c completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd05c54c81908bb612e7976bd10a completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc3ea7c8190b63e9a19721fea80 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:52 p.m.