Triple

T4283891
Position Surface form Disambiguated ID Type / Status
Subject Molenlanden E97218 entity
Predicate hasSettlement P1068 FINISHED
Object Wijngaarden
Wijngaarden is a small village in the Dutch province of South Holland, known for its rural character and location within the municipality of Molenlanden.
 E426803 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: Wijngaarden | Statement: [Molenlanden, hasSettlement, Wijngaarden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wijngaarden
Context triple: [Molenlanden, hasSettlement, Wijngaarden]
  • A. Enkeldoorn
    Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
  • B. Sommelsdijk
    Sommelsdijk is a village in the Netherlands located on the island of Goeree-Overflakkee in the province of South Holland.
  • C. Winschoten
    Winschoten is a town in the northeast of the Netherlands known historically as a regional trade center and for its traditional windmills and Jewish heritage.
  • D. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • E. Reigersbos
    Reigersbos is a metro station in the southeastern part of Amsterdam, serving the surrounding residential neighborhood on the city's rapid transit network.
  • 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: Wijngaarden
Triple: [Molenlanden, hasSettlement, Wijngaarden]
Generated description
Wijngaarden is a small village in the Dutch province of South Holland, known for its rural character and location within the municipality of Molenlanden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wijngaarden
Target entity description: Wijngaarden is a small village in the Dutch province of South Holland, known for its rural character and location within the municipality of Molenlanden.
  • A. Enkeldoorn
    Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
  • B. Sommelsdijk
    Sommelsdijk is a village in the Netherlands located on the island of Goeree-Overflakkee in the province of South Holland.
  • C. Winschoten
    Winschoten is a town in the northeast of the Netherlands known historically as a regional trade center and for its traditional windmills and Jewish heritage.
  • D. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • E. Reigersbos
    Reigersbos is a metro station in the southeastern part of Amsterdam, serving the surrounding residential neighborhood on the city's rapid transit network.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503c062c81908f9a9eeab5381ec9 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7c2023c8190a2359f8cabcecd2c completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b94471588190a27e7df972f072b1 completed March 14, 2026, 7:38 p.m.
NED2 Entity disambiguation (via description) batch_69b5ba4262b481908378f7ebdc9a7c9c completed March 14, 2026, 7:42 p.m.
Created at: March 12, 2026, 11:07 p.m.