Triple

T12217483
Position Surface form Disambiguated ID Type / Status
Subject Weststellingwerf E291122 entity
Predicate hasSettlement P1068 FINISHED
Object Zandhuizen
Zandhuizen is a small village in the municipality of Weststellingwerf in the province of Friesland in the northern Netherlands.
E970590 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: Zandhuizen | Statement: [Weststellingwerf, hasSettlement, Zandhuizen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zandhuizen
Context triple: [Weststellingwerf, hasSettlement, Zandhuizen]
  • A. Zanderij
    Zanderij is a village in Suriname best known for hosting the country’s main international airport, Johan Adolf Pengel International Airport.
  • B. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of Groningen, located within the municipality of Westerkwartier.
  • C. Oldenzaal
    Oldenzaal is a historic city in the eastern Netherlands known for its medieval center and location near the German border in the province of Overijssel.
  • D. Muurhuizen
    Muurhuizen is a historic street in Amersfoort, Netherlands, lined with medieval houses built along the former city wall.
  • E. Achthuizen
    Achthuizen is a small village in the western Netherlands, located 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: Zandhuizen
Triple: [Weststellingwerf, hasSettlement, Zandhuizen]
Generated description
Zandhuizen is a small village in the municipality of Weststellingwerf in the province of Friesland in the northern Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zandhuizen
Target entity description: Zandhuizen is a small village in the municipality of Weststellingwerf in the province of Friesland in the northern Netherlands.
  • A. Zanderij
    Zanderij is a village in Suriname best known for hosting the country’s main international airport, Johan Adolf Pengel International Airport.
  • B. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of Groningen, located within the municipality of Westerkwartier.
  • C. Oldenzaal
    Oldenzaal is a historic city in the eastern Netherlands known for its medieval center and location near the German border in the province of Overijssel.
  • D. Muurhuizen
    Muurhuizen is a historic street in Amersfoort, Netherlands, lined with medieval houses built along the former city wall.
  • E. Achthuizen
    Achthuizen is a small village in the western Netherlands, located 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c9419d48190b0037fe8edc681c4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa31f548190bd4f8cfe3c55614b completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60dbe4f788190a3b4be4b31cfbffa completed May 2, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_69f60ee037bc8190be486e30e03031a7 completed May 2, 2026, 2:49 p.m.
Created at: April 8, 2026, 9:51 p.m.