Triple

T13255272
Position Surface form Disambiguated ID Type / Status
Subject Kelkheim E315641 entity
Predicate hasSubdivision P747 FINISHED
Object Fischbach
Fischbach is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany.
E1037370 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: Fischbach | Statement: [Kelkheim, hasSubdivision, Fischbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fischbach
Context triple: [Kelkheim, hasSubdivision, Fischbach]
  • A. Gaisbach
    Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
  • B. Nanzenbach
    Nanzenbach is a village-level district that forms part of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
  • C. Feldbach
    Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic region.
  • D. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • E. Prackenbach
    Prackenbach is a small municipality in the Bavarian Forest region of southeastern 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: Fischbach
Triple: [Kelkheim, hasSubdivision, Fischbach]
Generated description
Fischbach is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fischbach
Target entity description: Fischbach is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany.
  • A. Gaisbach
    Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
  • B. Nanzenbach
    Nanzenbach is a village-level district that forms part of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
  • C. Feldbach
    Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic region.
  • D. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • E. Prackenbach
    Prackenbach is a small municipality in the Bavarian Forest region of southeastern 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7517048190b4eac4e44e81ff66 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f72664b9a48190a76e0c3dfaaf3d7a completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f72a6fdf7c8190a2345e6771228968 completed May 3, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_69f72ac6b4688190a2052a44b445b14b completed May 3, 2026, 11 a.m.
Created at: April 9, 2026, 9:24 p.m.