Triple

T14734851
Position Surface form Disambiguated ID Type / Status
Subject Ahr River E346176 entity
Predicate flowsThrough P225 FINISHED
Object Altenahr
Altenahr is a picturesque municipality in Germany’s Ahr Valley, known for its steep vineyards, hiking trails, and historic castle ruins.
 E1117710 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: Altenahr | Statement: [Ahr River, flowsThrough, Altenahr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Altenahr
Context triple: [Ahr River, flowsThrough, Altenahr]
  • A. Altreich
    Altreich refers to the pre-World War II core territory of Nazi Germany before its expansion through annexations.
  • B. Schwanfeld
    Schwanfeld is a small municipality in the Lower Franconia region of Bavaria, Germany, known for its rural character and historical roots.
  • C. Franconia
    Franconia is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
  • D. Franconia
    Franconia is a historical region in northern Bavaria, Germany, known for its medieval towns, rich cultural heritage, and distinct Franconian identity within the German-speaking world.
  • E. Andlau
    Andlau is a picturesque wine-growing village in northeastern France’s Alsace region, renowned for its historic abbey and surrounding vineyards.
  • 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: Altenahr
Triple: [Ahr River, flowsThrough, Altenahr]
Generated description
Altenahr is a picturesque municipality in Germany’s Ahr Valley, known for its steep vineyards, hiking trails, and historic castle ruins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Altenahr
Target entity description: Altenahr is a picturesque municipality in Germany’s Ahr Valley, known for its steep vineyards, hiking trails, and historic castle ruins.
  • A. Altreich
    Altreich refers to the pre-World War II core territory of Nazi Germany before its expansion through annexations.
  • B. Schwanfeld
    Schwanfeld is a small municipality in the Lower Franconia region of Bavaria, Germany, known for its rural character and historical roots.
  • C. Franconia
    Franconia is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
  • D. Franconia
    Franconia is a historical region in northern Bavaria, Germany, known for its medieval towns, rich cultural heritage, and distinct Franconian identity within the German-speaking world.
  • E. Andlau
    Andlau is a picturesque wine-growing village in northeastern France’s Alsace region, renowned for its historic abbey and surrounding vineyards.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73114cc819088e1101b689fc70b completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8e0d488190851d73b75ba4c0a6 completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fe0091cea48190a473f8602b05fe7c completed May 8, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69fe010ab2b88190a1099ebba77d4d8b completed May 8, 2026, 3:28 p.m.
Created at: April 10, 2026, 1:29 a.m.