Triple

T23454268
Position Surface form Disambiguated ID Type / Status
Subject River Wörnitz E567873 entity
Predicate hasTributary P415 FINISHED
Object Eger (Wörnitz)
Eger (Wörnitz) is a small river in Bavaria, Germany, that flows through the Franconian landscape before joining the Wörnitz.
 E1591187 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: Eger (Wörnitz) | Statement: [River Wörnitz, hasTributary, Eger (Wörnitz)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eger (Wörnitz)
Context triple: [River Wörnitz, hasTributary, Eger (Wörnitz)]
  • A. Eger
    Eger is a historic city in northern Hungary known for its baroque architecture, castle, and wine culture.
  • B. Eger
    Eger is the former German name for the Czech town of Cheb, a historic settlement near the German border in western Bohemia.
  • C. Eger (Ohře)
    Eger (Ohře) is a major river in Central Europe that flows through Germany and the Czech Republic before joining the Elbe.
  • D. EGER
    EGER is the ICAO airport code for Stronsay Airport, a small regional airfield serving the island of Stronsay in Orkney, Scotland.
  • E. Falkenau an der Eger
    Falkenau an der Eger is the former German name of the Czech town now known as Sokolov, located in the Karlovy Vary Region of western Bohemia.
  • 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: Eger (Wörnitz)
Triple: [River Wörnitz, hasTributary, Eger (Wörnitz)]
Generated description
Eger (Wörnitz) is a small river in Bavaria, Germany, that flows through the Franconian landscape before joining the Wörnitz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eger (Wörnitz)
Target entity description: Eger (Wörnitz) is a small river in Bavaria, Germany, that flows through the Franconian landscape before joining the Wörnitz.
  • A. Eger
    Eger is a historic city in northern Hungary known for its baroque architecture, castle, and wine culture.
  • B. Eger
    Eger is the former German name for the Czech town of Cheb, a historic settlement near the German border in western Bohemia.
  • C. Eger (Ohře)
    Eger (Ohře) is a major river in Central Europe that flows through Germany and the Czech Republic before joining the Elbe.
  • D. EGER
    EGER is the ICAO airport code for Stronsay Airport, a small regional airfield serving the island of Stronsay in Orkney, Scotland.
  • E. Falkenau an der Eger
    Falkenau an der Eger is the former German name of the Czech town now known as Sokolov, located in the Karlovy Vary Region of western Bohemia.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a695fed08190bfa160e69200546d completed April 29, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf3999548190bde08aaa2673d58a completed May 19, 2026, 10:07 p.m.
NEDg Description generation batch_6a0ce15fd1ec81909d678480e2820dec completed May 19, 2026, 10:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce1bcd440819087344b83bb0ac0e8 completed May 19, 2026, 10:18 p.m.
Created at: April 17, 2026, 5:53 p.m.