Triple

T18862376
Position Surface form Disambiguated ID Type / Status
Subject Landau in der Pfalz E461344 entity
Predicate hasSubdivision P747 FINISHED
Object Dammheim
Dammheim is a village and local district of the city of Landau in der Pfalz in the state of Rhineland-Palatinate, Germany.
E1370436 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: Dammheim | Statement: [Landau in der Pfalz, hasSubdivision, Dammheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dammheim
Context triple: [Landau in der Pfalz, hasSubdivision, Dammheim]
  • A. Weikersheim
    Weikersheim is a small historic town in the Tauber Valley of Baden-Württemberg, Germany, known for its Renaissance castle and well-preserved old town.
  • B. Dornheim
    Dornheim is a small village in Thuringia, Germany, historically noted as the place where Johann Sebastian Bach married Maria Barbara Bach.
  • C. Höchheim
    Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
  • D. Rußheim
    Rußheim is a village in the German state of Baden-Württemberg, located in the Upper Rhine Plain and characterized by its agricultural surroundings and proximity to regional waterways.
  • E. Odelzhausen
    Odelzhausen is a municipality in Bavaria, Germany, known for its historic castle and location along the Autobahn between Munich and Augsburg.
  • 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: Dammheim
Triple: [Landau in der Pfalz, hasSubdivision, Dammheim]
Generated description
Dammheim is a village and local district of the city of Landau in der Pfalz in the state of Rhineland-Palatinate, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dammheim
Target entity description: Dammheim is a village and local district of the city of Landau in der Pfalz in the state of Rhineland-Palatinate, Germany.
  • A. Weikersheim
    Weikersheim is a small historic town in the Tauber Valley of Baden-Württemberg, Germany, known for its Renaissance castle and well-preserved old town.
  • B. Dornheim
    Dornheim is a small village in Thuringia, Germany, historically noted as the place where Johann Sebastian Bach married Maria Barbara Bach.
  • C. Höchheim
    Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
  • D. Rußheim
    Rußheim is a village in the German state of Baden-Württemberg, located in the Upper Rhine Plain and characterized by its agricultural surroundings and proximity to regional waterways.
  • E. Odelzhausen
    Odelzhausen is a municipality in Bavaria, Germany, known for its historic castle and location along the Autobahn between Munich and Augsburg.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c06184d88190bd05413a07a8c9ce completed April 20, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071bc49a5c8190b25a20023a3e521d completed May 15, 2026, 1:12 p.m.
NEDg Description generation batch_6a071ca19f308190ac9072c5a8d3b665 completed May 15, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a071de35b9081908d1b6e797cbe69ce completed May 15, 2026, 1:21 p.m.
Created at: April 10, 2026, 11:57 a.m.