Triple

T4953293
Position Surface form Disambiguated ID Type / Status
Subject Heidenheim (district) E111218 entity
Predicate hasMunicipality P847 FINISHED
Object Ziertheim
Ziertheim is a small municipality in the Heidenheim district of the state of Baden-Württemberg in southern Germany.
E483335 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: Ziertheim | Statement: [Heidenheim (district), hasMunicipality, Ziertheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ziertheim
Context triple: [Heidenheim (district), hasMunicipality, Ziertheim]
  • A. Marlenheim
    Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
  • B. Ziegenhain
    Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
  • C. Igersheim
    Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
  • D. Entzheim
    Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
  • E. Rheydt
    Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
  • 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: Ziertheim
Triple: [Heidenheim (district), hasMunicipality, Ziertheim]
Generated description
Ziertheim is a small municipality in the Heidenheim district of the state of Baden-Württemberg in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ziertheim
Target entity description: Ziertheim is a small municipality in the Heidenheim district of the state of Baden-Württemberg in southern Germany.
  • A. Marlenheim
    Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
  • B. Ziegenhain
    Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
  • C. Igersheim
    Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
  • D. Entzheim
    Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
  • E. Rheydt
    Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b82dd88190adfb08c3b3191fe0 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81d773bc8190861be7ad83de6c2a completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be82dcc280819098eac824370b1af0 completed March 21, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69be8349507481908643591de7f03f42 completed March 21, 2026, 11:38 a.m.
Created at: March 20, 2026, 1:31 p.m.