Triple

T14609812
Position Surface form Disambiguated ID Type / Status
Subject Kurhessen E342926 entity
Predicate borderedBy P224 FINISHED
Object Kurmainz
Kurmainz was the Electorate of Mainz, a powerful ecclesiastical principality of the Holy Roman Empire whose archbishop served as archchancellor and one of the empire’s leading prince-electors.
 E1108156 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: Kurmainz | Statement: [Kurhessen, borderedBy, Kurmainz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kurmainz
Context triple: [Kurhessen, borderedBy, Kurmainz]
  • A. Marheineke
    Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
  • B. Duttweiler
    Duttweiler is a village and local district (Ortsteil) of Neustadt an der Weinstraße in the Rhineland-Palatinate wine-growing region of Germany.
  • C. Schivelbein
    Schivelbein is a historic town in northwestern Poland, known today as Świdwin, situated within the Rega River basin.
  • D. Vurste
    Vurste is a village in the municipality of Gavere in East Flanders, Belgium.
  • E. Tönisvorst
    Tönisvorst is a small town in North Rhine-Westphalia, western Germany, known for its agricultural surroundings and proximity to the city of Krefeld.
  • 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: Kurmainz
Triple: [Kurhessen, borderedBy, Kurmainz]
Generated description
Kurmainz was the Electorate of Mainz, a powerful ecclesiastical principality of the Holy Roman Empire whose archbishop served as archchancellor and one of the empire’s leading prince-electors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kurmainz
Target entity description: Kurmainz was the Electorate of Mainz, a powerful ecclesiastical principality of the Holy Roman Empire whose archbishop served as archchancellor and one of the empire’s leading prince-electors.
  • A. Marheineke
    Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
  • B. Duttweiler
    Duttweiler is a village and local district (Ortsteil) of Neustadt an der Weinstraße in the Rhineland-Palatinate wine-growing region of Germany.
  • C. Schivelbein
    Schivelbein is a historic town in northwestern Poland, known today as Świdwin, situated within the Rega River basin.
  • D. Vurste
    Vurste is a village in the municipality of Gavere in East Flanders, Belgium.
  • E. Tönisvorst
    Tönisvorst is a small town in North Rhine-Westphalia, western Germany, known for its agricultural surroundings and proximity to the city of Krefeld.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44f0dd48190a78662b5998a6722 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94d22170819098df75754f5c12ab completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd975c51088190ac70093a591b9723 completed May 8, 2026, 7:57 a.m.
NED2 Entity disambiguation (via description) batch_69fd97f447488190958e79d776e2ed47 completed May 8, 2026, 7:59 a.m.
Created at: April 10, 2026, 1:25 a.m.