Triple

T15812554
Position Surface form Disambiguated ID Type / Status
Subject Flemish Ardennes E383389 entity
Predicate contains P35 FINISHED
Object Eikenberg
Eikenberg is a well-known cobbled climb in the Flemish Ardennes, frequently featured in Belgian professional cycling races.
E1180773 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: Eikenberg | Statement: [Flemish Ardennes, contains, Eikenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eikenberg
Context triple: [Flemish Ardennes, contains, Eikenberg]
  • A. Hohnstein
    Hohnstein is a small historic town in Saxony, Germany, known for its medieval castle and scenic location in the Saxon Switzerland region.
  • B. Kellinghausen
    Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • C. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • D. Hagenborgh
    Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
  • E. Fuhlenbrock
    Fuhlenbrock is a residential district of the city of Bottrop in North Rhine-Westphalia, Germany.
  • 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: Eikenberg
Triple: [Flemish Ardennes, contains, Eikenberg]
Generated description
Eikenberg is a well-known cobbled climb in the Flemish Ardennes, frequently featured in Belgian professional cycling races.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eikenberg
Target entity description: Eikenberg is a well-known cobbled climb in the Flemish Ardennes, frequently featured in Belgian professional cycling races.
  • A. Hohnstein
    Hohnstein is a small historic town in Saxony, Germany, known for its medieval castle and scenic location in the Saxon Switzerland region.
  • B. Kellinghausen
    Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • C. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • D. Hagenborgh
    Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
  • E. Fuhlenbrock
    Fuhlenbrock is a residential district of the city of Bottrop in North Rhine-Westphalia, Germany.
  • 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_69ffa939b4608190ac411b2f2f61e19e completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffa9c5b1d48190af08d2eef2c627ef completed May 9, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffaa1b2b788190909b0921089d3f8c completed May 9, 2026, 9:41 p.m.
Created at: April 10, 2026, 4:49 a.m.