Triple

T10968521
Position Surface form Disambiguated ID Type / Status
Subject Waldeck-Frankenberg E259169 entity
Predicate containsMunicipality P852 FINISHED
Object Frankenau
Frankenau is a small town in the Waldeck-Frankenberg district of Hesse, Germany, known for its proximity to the Kellerwald-Edersee National Park.
E897438 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: Frankenau | Statement: [Waldeck-Frankenberg, containsMunicipality, Frankenau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankenau
Context triple: [Waldeck-Frankenberg, containsMunicipality, Frankenau]
  • A. Wackernheim
    Wackernheim is a village in Rhineland-Palatinate, Germany, that forms part of the town of Ingelheim am Rhein.
  • B. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • C. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Frankenwinheim
    Frankenwinheim is a small municipality in the Lower Franconia area of northern Bavaria, Germany, known for its rural character and wine-growing tradition.
  • E. Emmerich
    Emmerich is the German form of the given name Imre, used primarily in German-speaking regions.
  • 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: Frankenau
Triple: [Waldeck-Frankenberg, containsMunicipality, Frankenau]
Generated description
Frankenau is a small town in the Waldeck-Frankenberg district of Hesse, Germany, known for its proximity to the Kellerwald-Edersee National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frankenau
Target entity description: Frankenau is a small town in the Waldeck-Frankenberg district of Hesse, Germany, known for its proximity to the Kellerwald-Edersee National Park.
  • A. Wackernheim
    Wackernheim is a village in Rhineland-Palatinate, Germany, that forms part of the town of Ingelheim am Rhein.
  • B. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • C. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Frankenwinheim
    Frankenwinheim is a small municipality in the Lower Franconia area of northern Bavaria, Germany, known for its rural character and wine-growing tradition.
  • E. Emmerich
    Emmerich is the German form of the given name Imre, used primarily in German-speaking regions.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719800388190943a0bffa48a2731 completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d78156c48190a956dc22b9832bcb completed April 18, 2026, 12:59 a.m.
NEDg Description generation batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3261cc4f48190ba0e5645f37cd4b5 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:24 p.m.