Triple

T19417040
Position Surface form Disambiguated ID Type / Status
Subject Pinzgau E485747 entity
Predicate contains P35 FINISHED
Object Viehhofen
Viehhofen is a small Austrian municipality in the state of Salzburg, located in the alpine Pinzgau region and known for its proximity to major ski and hiking areas.
E1374975 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: Viehhofen | Statement: [Pinzgau, contains, Viehhofen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viehhofen
Context triple: [Pinzgau, contains, Viehhofen]
  • A. Vilgertshofen
    Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
  • B. Theilenhofen
    Theilenhofen is a small rural municipality in the Bavarian region of southern Germany.
  • C. Wehofen
    Wehofen is a district of the Walsum area in the city of Duisburg in North Rhine-Westphalia, Germany.
  • D. Hemhofen
    Hemhofen is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany.
  • E. Gerhardshofen
    Gerhardshofen is a small rural municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
  • 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: Viehhofen
Triple: [Pinzgau, contains, Viehhofen]
Generated description
Viehhofen is a small Austrian municipality in the state of Salzburg, located in the alpine Pinzgau region and known for its proximity to major ski and hiking areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Viehhofen
Target entity description: Viehhofen is a small Austrian municipality in the state of Salzburg, located in the alpine Pinzgau region and known for its proximity to major ski and hiking areas.
  • A. Vilgertshofen
    Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
  • B. Theilenhofen
    Theilenhofen is a small rural municipality in the Bavarian region of southern Germany.
  • C. Wehofen
    Wehofen is a district of the Walsum area in the city of Duisburg in North Rhine-Westphalia, Germany.
  • D. Hemhofen
    Hemhofen is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany.
  • E. Gerhardshofen
    Gerhardshofen is a small rural municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62afad8d881908f1de6324e55d2f6 completed April 20, 2026, 1:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733ce2e6081909e8baebf638747f1 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0734cfc2488190a488c40431a0b612 completed May 15, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0735c38b7881908489916ff2f2883e completed May 15, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:37 p.m.