Triple

T13674190
Position Surface form Disambiguated ID Type / Status
Subject district of Roth E327828 entity
Predicate contains P35 FINISHED
Object Abenberg
Abenberg is a small historic town in Bavaria, Germany, known for its medieval castle and picturesque old town.
 E1052744 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: Abenberg | Statement: [district of Roth, contains, Abenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abenberg
Context triple: [district of Roth, contains, Abenberg]
  • A. Kostheim
    Kostheim is a district of the city of Wiesbaden in the German state of Hesse, located on the right bank of the Rhine opposite Mainz.
  • B. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • C. Kurtzberg
    Kurtzberg is the birth surname of legendary comic book creator Jack Kirby, co-architect of much of the Marvel Universe.
  • D. Brannenburg
    Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
  • E. Willenberg
    Willenberg is the former German name of the town now known as Wielbark, located in northern Poland.
  • 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: Abenberg
Triple: [district of Roth, contains, Abenberg]
Generated description
Abenberg is a small historic town in Bavaria, Germany, known for its medieval castle and picturesque old town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abenberg
Target entity description: Abenberg is a small historic town in Bavaria, Germany, known for its medieval castle and picturesque old town.
  • A. Kostheim
    Kostheim is a district of the city of Wiesbaden in the German state of Hesse, located on the right bank of the Rhine opposite Mainz.
  • B. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • C. Kurtzberg
    Kurtzberg is the birth surname of legendary comic book creator Jack Kirby, co-architect of much of the Marvel Universe.
  • D. Brannenburg
    Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
  • E. Willenberg
    Willenberg is the former German name of the town now known as Wielbark, located in northern Poland.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65aab348190a6611f5765f8392d completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b145fa081908521c103201f3afe completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78bd727048190a57a75294a9ab53d completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c94da6c8190b9bc1d04cee19c3c completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:53 p.m.