Triple

T2936704
Position Surface form Disambiguated ID Type / Status
Subject South Beveland E79285 entity
Predicate hasTown P847 FINISHED
Object ’s-Heer Arendskerke
’s-Heer Arendskerke is a small village in the Dutch province of Zeeland, known for its rural character and historic church.
 E322976 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: ’s-Heer Arendskerke | Statement: [South Beveland, hasTown, ’s-Heer Arendskerke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ’s-Heer Arendskerke
Context triple: [South Beveland, hasTown, ’s-Heer Arendskerke]
  • A. Soestdijk
    Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
  • B. Haaksbergen
    Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
  • C. Ridderkerk
    Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
  • D. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • E. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • 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: ’s-Heer Arendskerke
Triple: [South Beveland, hasTown, ’s-Heer Arendskerke]
Generated description
’s-Heer Arendskerke is a small village in the Dutch province of Zeeland, known for its rural character and historic church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ’s-Heer Arendskerke
Target entity description: ’s-Heer Arendskerke is a small village in the Dutch province of Zeeland, known for its rural character and historic church.
  • A. Soestdijk
    Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
  • B. Haaksbergen
    Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
  • C. Ridderkerk
    Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
  • D. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • E. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983df5e08190939cd8acf8ad5b55 completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eed825108190b3db9728d0c95fd6 completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1f0fc72b08190893a4fc73038bca9 completed March 11, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69b1f152e7bc8190a0c4750bbc0f7183 completed March 11, 2026, 10:48 p.m.
Created at: March 8, 2026, 2:56 p.m.