Triple

T21785307
Position Surface form Disambiguated ID Type / Status
Subject Hoge Kempen National Park E537819 entity
Predicate hasEntranceGate P12642 FINISHED
Object Kattekwaad
Kattekwaad is an entrance gate area of Belgium’s Hoge Kempen National Park, serving as an access point and visitor hub for exploring the park’s landscapes and trails.
E1502674 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: Kattekwaad | Statement: [Hoge Kempen National Park, hasEntranceGate, Kattekwaad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kattekwaad
Context triple: [Hoge Kempen National Park, hasEntranceGate, Kattekwaad]
  • A. De Kwakel
    De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
  • B. Meekknoken
    Meekknoken is the highest peak on the island of Averøya in Norway, known as its most prominent natural elevation.
  • C. Katenka
    Katenka is a Russian diminutive form of the female given name Yekaterina (Catherine).
  • D. Koewacht
    Koewacht is a village in the Dutch province of Zeeland, situated near the Belgian border and administratively part of the municipality of Terneuzen.
  • E. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • 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: Kattekwaad
Triple: [Hoge Kempen National Park, hasEntranceGate, Kattekwaad]
Generated description
Kattekwaad is an entrance gate area of Belgium’s Hoge Kempen National Park, serving as an access point and visitor hub for exploring the park’s landscapes and trails.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kattekwaad
Target entity description: Kattekwaad is an entrance gate area of Belgium’s Hoge Kempen National Park, serving as an access point and visitor hub for exploring the park’s landscapes and trails.
  • A. De Kwakel
    De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
  • B. Meekknoken
    Meekknoken is the highest peak on the island of Averøya in Norway, known as its most prominent natural elevation.
  • C. Katenka
    Katenka is a Russian diminutive form of the female given name Yekaterina (Catherine).
  • D. Koewacht
    Koewacht is a village in the Dutch province of Zeeland, situated near the Belgian border and administratively part of the municipality of Terneuzen.
  • E. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e71399c8190b80ebe0870bbcda9 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f80ad2c8190bc9b8de10b37c826 completed May 17, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0a402328f88190aedece0522614d71 completed May 17, 2026, 10:24 p.m.
Created at: April 16, 2026, 6:52 p.m.