Triple

T14251321
Position Surface form Disambiguated ID Type / Status
Subject Sprockhövel E353269 entity
Predicate hasSubdivision P747 FINISHED
Object Gennebreck
Gennebreck is a locality within the town of Sprockhövel in North Rhine-Westphalia, Germany.
E1090431 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: Gennebreck | Statement: [Sprockhövel, hasSubdivision, Gennebreck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gennebreck
Context triple: [Sprockhövel, hasSubdivision, Gennebreck]
  • A. Cherain
    Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
  • B. Gressy
    Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
  • C. Baugnez
    Baugnez is a small hamlet in eastern Belgium best known as the site of the World War II Malmedy massacre during the Battle of the Bulge.
  • D. Gileppe
    Gileppe is a river in eastern Belgium known for feeding the Gileppe Dam and Reservoir near Jalhay.
  • E. Moreuil
    Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France 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: Gennebreck
Triple: [Sprockhövel, hasSubdivision, Gennebreck]
Generated description
Gennebreck is a locality within the town of Sprockhövel in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gennebreck
Target entity description: Gennebreck is a locality within the town of Sprockhövel in North Rhine-Westphalia, Germany.
  • A. Cherain
    Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
  • B. Gressy
    Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
  • C. Baugnez
    Baugnez is a small hamlet in eastern Belgium best known as the site of the World War II Malmedy massacre during the Battle of the Bulge.
  • D. Gileppe
    Gileppe is a river in eastern Belgium known for feeding the Gileppe Dam and Reservoir near Jalhay.
  • E. Moreuil
    Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6296f9d0819086f62f525d07eb12 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325815d48190b070866f41986847 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd367fd9788190bd25f057d1f0942c completed May 8, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69fd37c1f4c0819085f5c577e673e9df completed May 8, 2026, 1:09 a.m.
Created at: April 10, 2026, 1:08 a.m.