Triple

T1643812
Position Surface form Disambiguated ID Type / Status
Subject Herzogenaurach E35531 entity
Predicate hasTwinTown P919 FINISHED
Object Schaafheim
Schaafheim is a municipality in the state of Hesse in central Germany.
E226323 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: Schaafheim | Statement: [Herzogenaurach, hasTwinTown, Schaafheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schaafheim
Context triple: [Herzogenaurach, hasTwinTown, Schaafheim]
  • A. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • B. Friedenau
    Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
  • C. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • D. Rheydt
    Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
  • E. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • 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: Schaafheim
Triple: [Herzogenaurach, hasTwinTown, Schaafheim]
Generated description
Schaafheim is a municipality in the state of Hesse in central Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schaafheim
Target entity description: Schaafheim is a municipality in the state of Hesse in central Germany.
  • A. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • B. Friedenau
    Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
  • C. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • D. Rheydt
    Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
  • E. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622e9b08819094960b2329c6e7e6 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aaf7a008190bf7e5808838c6c2b completed March 8, 2026, 11:47 p.m.
NEDg Description generation batch_69ae0b49abfc81908876ea54c7b7dcc2 completed March 8, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69ae0d1bb5c881908c27bdd359e78773 completed March 8, 2026, 11:58 p.m.
Created at: March 4, 2026, 7:28 p.m.