Triple

T15187719
Position Surface form Disambiguated ID Type / Status
Subject Mayen-Koblenz E362920 entity
Predicate containsMunicipality P852 FINISHED
Object Kottenheim
Kottenheim is a small municipality in western Germany’s Rhineland-Palatinate region, known for its volcanic landscape and traditional stone quarrying.
E1205363 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: Kottenheim | Statement: [Mayen-Koblenz, containsMunicipality, Kottenheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kottenheim
Context triple: [Mayen-Koblenz, containsMunicipality, Kottenheim]
  • A. Meisenthal
    Meisenthal is a village in northeastern France renowned for its historic glassmaking tradition and cultural heritage.
  • B. Entzheim
    Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
  • C. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • D. Sulzheim
    Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • E. Henschhausen
    Henschhausen is a small district or locality that forms part of the town of Bacharach in Rhineland-Palatinate, 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: Kottenheim
Triple: [Mayen-Koblenz, containsMunicipality, Kottenheim]
Generated description
Kottenheim is a small municipality in western Germany’s Rhineland-Palatinate region, known for its volcanic landscape and traditional stone quarrying.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kottenheim
Target entity description: Kottenheim is a small municipality in western Germany’s Rhineland-Palatinate region, known for its volcanic landscape and traditional stone quarrying.
  • A. Meisenthal
    Meisenthal is a village in northeastern France renowned for its historic glassmaking tradition and cultural heritage.
  • B. Entzheim
    Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
  • C. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • D. Sulzheim
    Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • E. Henschhausen
    Henschhausen is a small district or locality that forms part of the town of Bacharach in Rhineland-Palatinate, 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067995fc8190b048f15086bd42f0 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f7d79348190aba1889a7eb3d7c8 completed May 10, 2026, 6:02 a.m.
NEDg Description generation batch_6a0020ffeca88190bd983923f2cc1522 completed May 10, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_6a00219a089c81909bb4f442cb26930d completed May 10, 2026, 6:11 a.m.
Created at: April 10, 2026, 3:09 a.m.