Triple

T1932163
Position Surface form Disambiguated ID Type / Status
Subject County of Nassau-Hadamar E40969 entity
Predicate capital P234 FINISHED
Object Hadamar
Hadamar is a small town in the German state of Hesse, historically notable as a former Nassau residence and later as the site of a World War II euthanasia center.
E216251 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: Hadamar | Statement: [County of Nassau-Hadamar, capital, Hadamar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadamar
Context triple: [County of Nassau-Hadamar, capital, Hadamar]
  • A. Mohrungen
    Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
  • B. Bad Lauchstädt
    Bad Lauchstädt is a historic spa town in the German state of Saxony-Anhalt, known for its classical Kurpark and Goethe-Theater.
  • C. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • D. Atzerodt
    Atzerodt is the surname of George Atzerodt, a German-born conspirator involved in the plot to assassinate U.S. President Abraham Lincoln.
  • E. Endenich
    Endenich is a district of Bonn, Germany, historically known as the place where composer Robert Schumann spent his final years and died in a mental asylum.
  • 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: Hadamar
Triple: [County of Nassau-Hadamar, capital, Hadamar]
Generated description
Hadamar is a small town in the German state of Hesse, historically notable as a former Nassau residence and later as the site of a World War II euthanasia center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hadamar
Target entity description: Hadamar is a small town in the German state of Hesse, historically notable as a former Nassau residence and later as the site of a World War II euthanasia center.
  • A. Mohrungen
    Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
  • B. Bad Lauchstädt
    Bad Lauchstädt is a historic spa town in the German state of Saxony-Anhalt, known for its classical Kurpark and Goethe-Theater.
  • C. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • D. Atzerodt
    Atzerodt is the surname of George Atzerodt, a German-born conspirator involved in the plot to assassinate U.S. President Abraham Lincoln.
  • E. Endenich
    Endenich is a district of Bonn, Germany, historically known as the place where composer Robert Schumann spent his final years and died in a mental asylum.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb297ec2c819092ad62d72005223d completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f16d0c8190967862b68e6cc373 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf48412b08190b6ad0f3abf42a081 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf4f8f3c481909efcb6d632522e1a completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.