Triple

T9495349
Position Surface form Disambiguated ID Type / Status
Subject Eider E228989 entity
Predicate hasTributary P415 FINISHED
Object Gieselau
Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
E808642 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: Gieselau | Statement: [Eider, hasTributary, Gieselau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gieselau
Context triple: [Eider, hasTributary, Gieselau]
  • A. Ziegenhain
    Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
  • B. Radeberg
    Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
  • C. Claußnitz
    Claußnitz is a small municipality in the German state of Saxony, known for its rural character and location within central Saxony.
  • D. Treuenbrietzen
    Treuenbrietzen is a historic town in the German state of Brandenburg, known for its medieval architecture and role in Reformation-era history.
  • E. Grömitz
    Grömitz is a Baltic Sea resort town in northern Germany known for its long sandy beaches and seaside tourism.
  • 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: Gieselau
Triple: [Eider, hasTributary, Gieselau]
Generated description
Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gieselau
Target entity description: Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
  • A. Ziegenhain
    Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
  • B. Radeberg
    Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
  • C. Claußnitz
    Claußnitz is a small municipality in the German state of Saxony, known for its rural character and location within central Saxony.
  • D. Treuenbrietzen
    Treuenbrietzen is a historic town in the German state of Brandenburg, known for its medieval architecture and role in Reformation-era history.
  • E. Grömitz
    Grömitz is a Baltic Sea resort town in northern Germany known for its long sandy beaches and seaside tourism.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95eb87b081908fc7255598cd9a24 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16126726c81908e6194a5db342c57 completed April 4, 2026, 7:06 p.m.
NEDg Description generation batch_69d1634b3cf481909725074696790247 completed April 4, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69d163e654388190ba9b617e6fac18ad completed April 4, 2026, 7:17 p.m.
Created at: March 30, 2026, 7:56 p.m.