Triple

T11371142
Position Surface form Disambiguated ID Type / Status
Subject Veluwe E269342 entity
Predicate contains P35 FINISHED
Object Nunspeet
Nunspeet is a Dutch town and municipality on the Veluwe known for its forests, heathlands, and role as a popular nature and holiday destination.
 E1224931 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: Nunspeet | Statement: [Veluwe, contains, Nunspeet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nunspeet
Context triple: [Veluwe, contains, Nunspeet]
  • A. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • B. Yerseke
    Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
  • C. Deurne
    Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
  • D. Deurne
    Deurne is a municipality in the Dutch province of North Brabant, known for its rural character and historic peat extraction areas.
  • E. Maarssen
    Maarssen is a town in the Dutch province of Utrecht, situated along the river Vecht and functioning largely as a residential and commuter community near the city of Utrecht.
  • 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: Nunspeet
Triple: [Veluwe, contains, Nunspeet]
Generated description
Nunspeet is a Dutch town and municipality on the Veluwe known for its forests, heathlands, and role as a popular nature and holiday destination.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nunspeet
Target entity description: Nunspeet is a Dutch town and municipality on the Veluwe known for its forests, heathlands, and role as a popular nature and holiday destination.
  • A. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • B. Yerseke
    Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
  • C. Deurne
    Deurne is a municipality in the Dutch province of North Brabant, known for its rural character and historic peat extraction areas.
  • D. Deurne
    Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
  • E. Maarssen
    Maarssen is a town in the Dutch province of Utrecht, situated along the river Vecht and functioning largely as a residential and commuter community near the city of Utrecht.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8b196881909af9b138661e816d completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007d960bd08190b8ac366273646865 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007eaca31081909cc81e73af61f2f0 completed May 10, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a007fde282c81909c9e7b210dd6e715 completed May 10, 2026, 12:53 p.m.
Created at: April 8, 2026, 9:33 p.m.