Triple

T22415440
Position Surface form Disambiguated ID Type / Status
Subject Efteling E554110 entity
Predicate hasSection P35 FINISHED
Object Marerijk
Marerijk is a themed area within the Dutch fantasy amusement park Efteling, known for its fairy-tale atmosphere and family-friendly attractions.
E1540113 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: Marerijk | Statement: [Efteling, hasSection, Marerijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marerijk
Context triple: [Efteling, hasSection, Marerijk]
  • A. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • B. Wiekevorst
    Wiekevorst is a village in the Belgian province of Antwerp that forms part of the municipality of Heist-op-den-Berg.
  • C. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • D. Heijningen
    Heijningen is a small village in the Dutch province of North Brabant, located in the municipality of Moerdijk.
  • E. Maasgouw
    Maasgouw is a municipality in the Dutch province of Limburg, known for its historic villages and location along the river Maas.
  • 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: Marerijk
Triple: [Efteling, hasSection, Marerijk]
Generated description
Marerijk is a themed area within the Dutch fantasy amusement park Efteling, known for its fairy-tale atmosphere and family-friendly attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marerijk
Target entity description: Marerijk is a themed area within the Dutch fantasy amusement park Efteling, known for its fairy-tale atmosphere and family-friendly attractions.
  • A. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • B. Wiekevorst
    Wiekevorst is a village in the Belgian province of Antwerp that forms part of the municipality of Heist-op-den-Berg.
  • C. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • D. Heijningen
    Heijningen is a small village in the Dutch province of North Brabant, located in the municipality of Moerdijk.
  • E. Maasgouw
    Maasgouw is a municipality in the Dutch province of Limburg, known for its historic villages and location along the river Maas.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594615f881909688b02548ee83eb completed April 29, 2026, 1:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17d128b4819089480f643f6fbf5a completed May 18, 2026, 1:44 p.m.
NEDg Description generation batch_6a0b188c406c81909f8d4bdd6d7a1819 completed May 18, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0b193a558c81909c8c8c8bd82f7bda completed May 18, 2026, 1:50 p.m.
Created at: April 16, 2026, 8:46 p.m.