Triple

T2404239
Position Surface form Disambiguated ID Type / Status
Subject Het Hogeland E50238 entity
Predicate containsSettlement P847 FINISHED
Object Wehe-den Hoorn
Wehe-den Hoorn is a small village in the Dutch province of Groningen, known for its historic churches and traditional rural character.
 E266404 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: Wehe-den Hoorn | Statement: [Het Hogeland, containsSettlement, Wehe-den Hoorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wehe-den Hoorn
Context triple: [Het Hogeland, containsSettlement, Wehe-den Hoorn]
  • A. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • B. Zwartewaal
    Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
  • C. Vechta
    Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
  • D. Brouwersdam
    Brouwersdam is a major Dutch dam and causeway in the Rhine–Meuse–Scheldt delta, built as part of the Delta Works to protect the Netherlands from North Sea flooding while supporting road traffic and water management.
  • E. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of 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: Wehe-den Hoorn
Triple: [Het Hogeland, containsSettlement, Wehe-den Hoorn]
Generated description
Wehe-den Hoorn is a small village in the Dutch province of Groningen, known for its historic churches and traditional rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wehe-den Hoorn
Target entity description: Wehe-den Hoorn is a small village in the Dutch province of Groningen, known for its historic churches and traditional rural character.
  • A. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • B. Zwartewaal
    Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
  • C. Vechta
    Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
  • D. Brouwersdam
    Brouwersdam is a major Dutch dam and causeway in the Rhine–Meuse–Scheldt delta, built as part of the Delta Works to protect the Netherlands from North Sea flooding while supporting road traffic and water management.
  • E. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fa151081909bc6be528b29b315 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf403f74819082dc50e31f29b171 completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec4529bf08190a75be15fb4aa144d completed March 9, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_69aec4edb8d88190a591a80d47dc5797 completed March 9, 2026, 1:02 p.m.
Created at: March 4, 2026, 7:58 p.m.