Triple

T2915617
Position Surface form Disambiguated ID Type / Status
Subject Vogtland E78598 entity
Predicate contains P35 FINISHED
Object Hof (Saale)
Hof (Saale) is a town in northeastern Bavaria, Germany, known as a regional center near the borders with Saxony and the Czech Republic.
 E310959 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: Hof (Saale) | Statement: [Vogtland, contains, Hof (Saale)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hof (Saale)
Context triple: [Vogtland, contains, Hof (Saale)]
  • A. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • B. Hennigsdorf
    Hennigsdorf is a town in the German state of Brandenburg, located just northwest of Berlin and known for its industrial heritage and proximity to the Havel River.
  • C. Friedrichsruh
    Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
  • D. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • E. Pfaffenhofen an der Ilm
    Pfaffenhofen an der Ilm is a Bavarian town in southern Germany known for its historic center, hop-growing tradition, and location between Munich and Ingolstadt.
  • 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: Hof (Saale)
Triple: [Vogtland, contains, Hof (Saale)]
Generated description
Hof (Saale) is a town in northeastern Bavaria, Germany, known as a regional center near the borders with Saxony and the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hof (Saale)
Target entity description: Hof (Saale) is a town in northeastern Bavaria, Germany, known as a regional center near the borders with Saxony and the Czech Republic.
  • A. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • B. Hennigsdorf
    Hennigsdorf is a town in the German state of Brandenburg, located just northwest of Berlin and known for its industrial heritage and proximity to the Havel River.
  • C. Friedrichsruh
    Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
  • D. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • E. Pfaffenhofen an der Ilm
    Pfaffenhofen an der Ilm is a Bavarian town in southern Germany known for its historic center, hop-growing tradition, and location between Munich and Ingolstadt.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a1a9f8819095fe3198e9d3f6b0 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056249b5c8190b388088bf047616f completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b06434bef48190848d8ab1aa59937c completed March 10, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69b064a3b41481909214a09eae0b092b completed March 10, 2026, 6:36 p.m.
Created at: March 8, 2026, 2:52 p.m.