Triple

T13496692
Position Surface form Disambiguated ID Type / Status
Subject Roth (German) E320779 entity
Predicate isToponymFor P19572 FINISHED
Object Roth bei Prüm
Roth bei Prüm is a small municipality in the Eifel region of Rhineland-Palatinate in western Germany.
E1042137 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: Roth bei Prüm | Statement: [Roth (German), isToponymFor, Roth bei Prüm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roth bei Prüm
Context triple: [Roth (German), isToponymFor, Roth bei Prüm]
  • A. Saal an der Saale
    Saal an der Saale is a small municipality in northern Bavaria, Germany, situated along the Franconian Saale River.
  • B. Saal an der Donau
    Saal an der Donau is a Bavarian municipality situated on the Danube River in the Kelheim district of southern Germany.
  • C. Mürzzuschlag
    Mürzzuschlag is a small Austrian town in the state of Styria, known historically for its iron industry and as a winter sports and railway hub in the Eastern Alps.
  • D. Prince of Essling
    Prince of Essling is a French noble title created by Napoleon I for Marshal André Masséna in recognition of his military achievements.
  • E. Fürstenzug
    Fürstenzug is a famous large porcelain mural in Dresden depicting a procession of Saxon rulers.
  • 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: Roth bei Prüm
Triple: [Roth (German), isToponymFor, Roth bei Prüm]
Generated description
Roth bei Prüm is a small municipality in the Eifel region of Rhineland-Palatinate in western Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roth bei Prüm
Target entity description: Roth bei Prüm is a small municipality in the Eifel region of Rhineland-Palatinate in western Germany.
  • A. Saal an der Saale
    Saal an der Saale is a small municipality in northern Bavaria, Germany, situated along the Franconian Saale River.
  • B. Saal an der Donau
    Saal an der Donau is a Bavarian municipality situated on the Danube River in the Kelheim district of southern Germany.
  • C. Mürzzuschlag
    Mürzzuschlag is a small Austrian town in the state of Styria, known historically for its iron industry and as a winter sports and railway hub in the Eastern Alps.
  • D. Prince of Essling
    Prince of Essling is a French noble title created by Napoleon I for Marshal André Masséna in recognition of his military achievements.
  • E. Fürstenzug
    Fürstenzug is a famous large porcelain mural in Dresden depicting a procession of Saxon rulers.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4e9ca4819083116890a65389f9 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7464125988190b26390669241cc20 completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74bd2880881909dcc3b1ec72cb3a0 completed May 3, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_69f74c616a788190804ae648001f58b8 completed May 3, 2026, 1:23 p.m.
Created at: April 9, 2026, 9:43 p.m.