Triple

T19446899
Position Surface form Disambiguated ID Type / Status
Subject Eugendorf E486501 entity
Predicate hasSubdivision P747 FINISHED
Object Neuhofen
Neuhofen is a locality that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
E1384408 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: Neuhofen | Statement: [Eugendorf, hasSubdivision, Neuhofen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuhofen
Context triple: [Eugendorf, hasSubdivision, Neuhofen]
  • A. Neufraunhofen
    Neufraunhofen is a small municipality in the Lower Bavarian region of southeastern Germany.
  • B. Odelshofen
    Odelshofen is a village and district (Ortsteil) of the town of Kehl in the state of Baden-Württemberg, Germany.
  • C. Reichertshofen
    Reichertshofen is a market town and municipality in Upper Bavaria, Germany, known for its location near the confluence of the Paar and Ilm rivers and its proximity to the city of Ingolstadt.
  • D. Vilgertshofen
    Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
  • E. Gerolzhofen
    Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
  • 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: Neuhofen
Triple: [Eugendorf, hasSubdivision, Neuhofen]
Generated description
Neuhofen is a locality that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neuhofen
Target entity description: Neuhofen is a locality that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
  • A. Neufraunhofen
    Neufraunhofen is a small municipality in the Lower Bavarian region of southeastern Germany.
  • B. Odelshofen
    Odelshofen is a village and district (Ortsteil) of the town of Kehl in the state of Baden-Württemberg, Germany.
  • C. Reichertshofen
    Reichertshofen is a market town and municipality in Upper Bavaria, Germany, known for its location near the confluence of the Paar and Ilm rivers and its proximity to the city of Ingolstadt.
  • D. Vilgertshofen
    Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
  • E. Gerolzhofen
    Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338a22608190bb31a1690ca0dab6 completed April 20, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075efac0a88190872d74e01c2fcf41 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a075fbe27a081909c6869abfdfb6079 completed May 15, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_6a07608dfcb481908833ecb65c10b96b completed May 15, 2026, 6:06 p.m.
Created at: April 10, 2026, 1:38 p.m.