Triple

T21382657
Position Surface form Disambiguated ID Type / Status
Subject Wiesloch E527400 entity
Predicate hasDistrict P459 FINISHED
Object Frauenweiler
Frauenweiler is a district of the town of Wiesloch in the Rhine-Neckar region of Baden-Württemberg, Germany.
E1482024 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: Frauenweiler | Statement: [Wiesloch, hasDistrict, Frauenweiler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frauenweiler
Context triple: [Wiesloch, hasDistrict, Frauenweiler]
  • A. Gnannenweiler
    Gnannenweiler is a small village in the municipality of Steinheim am Albuch in the Heidenheim district of Baden-Württemberg, Germany.
  • B. Dietersweiler
    Dietersweiler is a village and municipal district of the town of Freudenstadt in the Black Forest region of Baden-Württemberg, Germany.
  • C. Lommersweiler
    Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
  • D. Friedenweiler
    Friedenweiler is a small municipality in southwestern Germany’s Black Forest region, known for its forested landscapes and tranquil rural character.
  • E. Bergenweiler
    Bergenweiler is a small village in the municipality of Sontheim an der Brenz in the Heidenheim district of Baden-Württemberg, 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: Frauenweiler
Triple: [Wiesloch, hasDistrict, Frauenweiler]
Generated description
Frauenweiler is a district of the town of Wiesloch in the Rhine-Neckar region of Baden-Württemberg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frauenweiler
Target entity description: Frauenweiler is a district of the town of Wiesloch in the Rhine-Neckar region of Baden-Württemberg, Germany.
  • A. Gnannenweiler
    Gnannenweiler is a small village in the municipality of Steinheim am Albuch in the Heidenheim district of Baden-Württemberg, Germany.
  • B. Dietersweiler
    Dietersweiler is a village and municipal district of the town of Freudenstadt in the Black Forest region of Baden-Württemberg, Germany.
  • C. Lommersweiler
    Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
  • D. Friedenweiler
    Friedenweiler is a small municipality in southwestern Germany’s Black Forest region, known for its forested landscapes and tranquil rural character.
  • E. Bergenweiler
    Bergenweiler is a small village in the municipality of Sontheim an der Brenz in the Heidenheim district of Baden-Württemberg, 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0d1fa1c8190b3374e0bb3a971fc completed April 22, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb4448948190badaf0ae9c03ffc4 completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea2b9788190b41d3da0b5f3329e completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bf3466848190b2a5793f5f51efd7 completed May 17, 2026, 1:14 p.m.
Created at: April 16, 2026, 5:12 p.m.