Triple

T20187990
Position Surface form Disambiguated ID Type / Status
Subject Goliath (Walibi Holland) E492911 entity
Predicate locatedIn P40 FINISHED
Object Biddinghuizen
Biddinghuizen is a village in the Dutch province of Flevoland known for its large recreational parks and major events.
E1416997 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: Biddinghuizen | Statement: [Goliath (Walibi Holland), locatedIn, Biddinghuizen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biddinghuizen
Context triple: [Goliath (Walibi Holland), locatedIn, Biddinghuizen]
  • A. Zandhuizen
    Zandhuizen is a small village in the municipality of Weststellingwerf in the province of Friesland in the northern Netherlands.
  • B. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of South Holland, known for its rural character and proximity to the city of Rotterdam.
  • C. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of Groningen, located within the municipality of Westerkwartier.
  • D. Begijnhof
    Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
  • E. Hornhuizen
    Hornhuizen is a small village in the province of Groningen in the northern Netherlands, known for its rural landscape and historic church.
  • 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: Biddinghuizen
Triple: [Goliath (Walibi Holland), locatedIn, Biddinghuizen]
Generated description
Biddinghuizen is a village in the Dutch province of Flevoland known for its large recreational parks and major events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Biddinghuizen
Target entity description: Biddinghuizen is a village in the Dutch province of Flevoland known for its large recreational parks and major events.
  • A. Zandhuizen
    Zandhuizen is a small village in the municipality of Weststellingwerf in the province of Friesland in the northern Netherlands.
  • B. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of South Holland, known for its rural character and proximity to the city of Rotterdam.
  • C. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of Groningen, located within the municipality of Westerkwartier.
  • D. Begijnhof
    Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
  • E. Hornhuizen
    Hornhuizen is a small village in the province of Groningen in the northern Netherlands, known for its rural landscape and historic church.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad2c43c8190a2fc5ef2a0514e53 completed April 20, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083c83f250819091828379318bf0a2 completed May 16, 2026, 9:44 a.m.
NEDg Description generation batch_6a083de4745c819093c2eeba0c9bfa19 completed May 16, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_6a083f2d7db081908c281445210f551b completed May 16, 2026, 9:55 a.m.
Created at: April 11, 2026, 11:37 p.m.