Triple

T3472511
Position Surface form Disambiguated ID Type / Status
Subject Borsele E73295 entity
Predicate hasVillage P4011 FINISHED
Object Hoedekenskerke
Hoedekenskerke is a small village in the Dutch province of Zeeland, known for its rural character and location along the Western Scheldt.
 E610857 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: Hoedekenskerke | Statement: [Borsele, hasVillage, Hoedekenskerke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hoedekenskerke
Context triple: [Borsele, hasVillage, Hoedekenskerke]
  • A. Oldekerk
    Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
  • B. ’s-Heer Arendskerke
    ’s-Heer Arendskerke is a small village in the Dutch province of Zeeland, known for its rural character and historic church.
  • C. 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.
  • D. Heemstede
    Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
  • E. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • 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: Hoedekenskerke
Triple: [Borsele, hasVillage, Hoedekenskerke]
Generated description
Hoedekenskerke is a small village in the Dutch province of Zeeland, known for its rural character and location along the Western Scheldt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hoedekenskerke
Target entity description: Hoedekenskerke is a small village in the Dutch province of Zeeland, known for its rural character and location along the Western Scheldt.
  • A. Oldekerk
    Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
  • B. ’s-Heer Arendskerke
    ’s-Heer Arendskerke is a small village in the Dutch province of Zeeland, known for its rural character and historic church.
  • C. 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.
  • D. Heemstede
    Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
  • E. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3cc8488190b97c732e3f600a90 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f77397f48190aeeef1b389e7f2df completed March 27, 2026, 9:32 p.m.
NEDg Description generation batch_69c6f8946b2c8190b18edff8523cf565 completed March 27, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69c6f96c215081909e9d7a6e0a811f18 completed March 27, 2026, 9:41 p.m.
Created at: March 8, 2026, 3:17 p.m.