Triple

T11272686
Position Surface form Disambiguated ID Type / Status
Subject Aegidienberg E266851 entity
Predicate hasSubdistrict P747 FINISHED
Object Orscheid
Orscheid is a small subdistrict within the Aegidienberg area of Bad Honnef in North Rhine-Westphalia, Germany.
E921157 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: Orscheid | Statement: [Aegidienberg, hasSubdistrict, Orscheid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orscheid
Context triple: [Aegidienberg, hasSubdistrict, Orscheid]
  • A. Meiringen
    Meiringen is a Swiss alpine town in the Bernese Oberland, known for its dramatic mountain scenery, Reichenbach Falls, and association with Sherlock Holmes.
  • B. Mittersill
    Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
  • C. Freilassing
    Freilassing is a Bavarian town in southeastern Germany near the Austrian border, known as a key railway junction and gateway to the city of Salzburg.
  • D. Beilngries
    Beilngries is a small Bavarian town in southern Germany known for its historic old town and location within the Altmühltal Nature Park.
  • E. Oetz
    Oetz is a picturesque alpine village and popular tourist resort in the Tyrolean Ötztal region of western Austria, known for skiing, hiking, and outdoor recreation.
  • 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: Orscheid
Triple: [Aegidienberg, hasSubdistrict, Orscheid]
Generated description
Orscheid is a small subdistrict within the Aegidienberg area of Bad Honnef in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Orscheid
Target entity description: Orscheid is a small subdistrict within the Aegidienberg area of Bad Honnef in North Rhine-Westphalia, Germany.
  • A. Meiringen
    Meiringen is a Swiss alpine town in the Bernese Oberland, known for its dramatic mountain scenery, Reichenbach Falls, and association with Sherlock Holmes.
  • B. Mittersill
    Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
  • C. Freilassing
    Freilassing is a Bavarian town in southeastern Germany near the Austrian border, known as a key railway junction and gateway to the city of Salzburg.
  • D. Beilngries
    Beilngries is a small Bavarian town in southern Germany known for its historic old town and location within the Altmühltal Nature Park.
  • E. Oetz
    Oetz is a picturesque alpine village and popular tourist resort in the Tyrolean Ötztal region of western Austria, known for skiing, hiking, and outdoor recreation.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e965c9048190804ebb48f0a4817b completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5563558f48190ac5fa26062249175 completed April 19, 2026, 10:24 p.m.
NEDg Description generation batch_69e562bb085c8190942766d12d838798 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e569f0e6948190b285ca84aca03771 completed April 19, 2026, 11:49 p.m.
Created at: April 8, 2026, 9:31 p.m.