Triple

T15812553
Position Surface form Disambiguated ID Type / Status
Subject Flemish Ardennes E383389 entity
Predicate contains P35 FINISHED
Object Valkenberg
Valkenberg is a notable hill in the Flemish Ardennes of Belgium, known especially as a challenging climb in professional road cycling races.
 E1180696 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: Valkenberg | Statement: [Flemish Ardennes, contains, Valkenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valkenberg
Context triple: [Flemish Ardennes, contains, Valkenberg]
  • A. Valkenburg
    Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
  • B. Valkenburg
    Valkenburg is a historic Dutch town in the province of Limburg, known for its hilly landscape, tourism, and cycling events.
  • C. Widdersberg
    Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
  • D. Valkhof
    Valkhof is a historic site in Nijmegen, Netherlands, known for its hilltop park and medieval castle ruins overlooking the River Waal.
  • E. Havenstein
    Havenstein is a German surname most notably associated with Rudolf Havenstein, the president of the Reichsbank during Germany’s hyperinflation period after World War I.
  • 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: Valkenberg
Triple: [Flemish Ardennes, contains, Valkenberg]
Generated description
Valkenberg is a notable hill in the Flemish Ardennes of Belgium, known especially as a challenging climb in professional road cycling races.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valkenberg
Target entity description: Valkenberg is a notable hill in the Flemish Ardennes of Belgium, known especially as a challenging climb in professional road cycling races.
  • A. Valkenburg
    Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
  • B. Valkenburg
    Valkenburg is a historic Dutch town in the province of Limburg, known for its hilly landscape, tourism, and cycling events.
  • C. Widdersberg
    Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
  • D. Valkhof
    Valkhof is a historic site in Nijmegen, Netherlands, known for its hilltop park and medieval castle ruins overlooking the River Waal.
  • E. Havenstein
    Havenstein is a German surname most notably associated with Rudolf Havenstein, the president of the Reichsbank during Germany’s hyperinflation period after World War I.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a069bc8190bf9504dc6c998fa2 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa131784c8190bd6aba2cca084d20 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa1a919b481909c0007411535588b completed May 9, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4212ca88190973d68dfbd8e103a completed May 9, 2026, 9:16 p.m.
Created at: April 10, 2026, 4:49 a.m.