Triple

T15319426
Position Surface form Disambiguated ID Type / Status
Subject Heeze-Leende E366248 entity
Predicate borderedBy P224 FINISHED
Object Cranendonck
Cranendonck is a municipality in the Dutch province of North Brabant, known for its rural villages and proximity to the Belgian border.
E1150428 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: Cranendonck | Statement: [Heeze-Leende, borderedBy, Cranendonck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cranendonck
Context triple: [Heeze-Leende, borderedBy, Cranendonck]
  • A. Vanderkloof
    Vanderkloof is a small town in South Africa situated on the shores of the Vanderkloof Dam, known for its role in supporting dam operations, tourism, and outdoor recreation.
  • B. Hondschoote
    Hondschoote is a commune in northern France near the Belgian border, historically notable as the site of a major battle during the French Revolutionary Wars.
  • C. Zwaanendael
    Zwaanendael was a short-lived 17th-century Dutch colonial settlement established in what is now Lewes, Delaware.
  • D. Zonnemaire
    Zonnemaire is a small village in the Dutch province of Zeeland, notable as the birthplace of Nobel Prize–winning physicist Pieter Zeeman.
  • E. Groenenhoek
    Groenenhoek is a residential neighborhood in the Berchem district of Antwerp, Belgium.
  • 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: Cranendonck
Triple: [Heeze-Leende, borderedBy, Cranendonck]
Generated description
Cranendonck is a municipality in the Dutch province of North Brabant, known for its rural villages and proximity to the Belgian border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cranendonck
Target entity description: Cranendonck is a municipality in the Dutch province of North Brabant, known for its rural villages and proximity to the Belgian border.
  • A. Vanderkloof
    Vanderkloof is a small town in South Africa situated on the shores of the Vanderkloof Dam, known for its role in supporting dam operations, tourism, and outdoor recreation.
  • B. Hondschoote
    Hondschoote is a commune in northern France near the Belgian border, historically notable as the site of a major battle during the French Revolutionary Wars.
  • C. Zwaanendael
    Zwaanendael was a short-lived 17th-century Dutch colonial settlement established in what is now Lewes, Delaware.
  • D. Zonnemaire
    Zonnemaire is a small village in the Dutch province of Zeeland, notable as the birthplace of Nobel Prize–winning physicist Pieter Zeeman.
  • E. Groenenhoek
    Groenenhoek is a residential neighborhood in the Berchem district of Antwerp, Belgium.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd356b881908f054b64eee6a371 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a9085881909904152c32b0fed1 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefc8251d08190bf8a764f83f89d7e completed May 9, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69fefd6c2bf88190b17a03be7b3353e3 completed May 9, 2026, 9:25 a.m.
Created at: April 10, 2026, 3:16 a.m.