Triple

T5472918
Position Surface form Disambiguated ID Type / Status
Subject Reuss principalities E122878 entity
Predicate hasPart P35 FINISHED
Object Reuss-Schleiz
Reuss-Schleiz was a small historical German principality ruled by a branch of the House of Reuss within the Holy Roman Empire and later the German Confederation.
E526340 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: Reuss-Schleiz | Statement: [Reuss principalities, hasPart, Reuss-Schleiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reuss-Schleiz
Context triple: [Reuss principalities, hasPart, Reuss-Schleiz]
  • A. Rüdnitz
    Rüdnitz is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • B. Regnitz
    The Regnitz is a river in the German state of Bavaria that flows through cities such as Erlangen and Bamberg before joining the Main River.
  • C. Fränkische Saale
    The Fränkische Saale is a river in northern Bavaria, Germany, known for flowing through the Franconian wine region and eventually joining the Main River.
  • D. Wakenitz
    Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
  • E. Würschnitz
    Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz River.
  • 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: Reuss-Schleiz
Triple: [Reuss principalities, hasPart, Reuss-Schleiz]
Generated description
Reuss-Schleiz was a small historical German principality ruled by a branch of the House of Reuss within the Holy Roman Empire and later the German Confederation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Reuss-Schleiz
Target entity description: Reuss-Schleiz was a small historical German principality ruled by a branch of the House of Reuss within the Holy Roman Empire and later the German Confederation.
  • A. Rüdnitz
    Rüdnitz is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • B. Regnitz
    The Regnitz is a river in the German state of Bavaria that flows through cities such as Erlangen and Bamberg before joining the Main River.
  • C. Fränkische Saale
    The Fränkische Saale is a river in northern Bavaria, Germany, known for flowing through the Franconian wine region and eventually joining the Main River.
  • D. Wakenitz
    Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
  • E. Würschnitz
    Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz River.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9230d6d88190a9ac48a4488e1754 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfba21331481908fc43a47f06d7c87 completed March 22, 2026, 9:45 a.m.
NEDg Description generation batch_69bfbaa69d408190a86812c8d5ea028b completed March 22, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69bfbb272fcc81908119cfca2b35ec31 completed March 22, 2026, 9:49 a.m.
Created at: March 20, 2026, 2:09 p.m.