Triple

T3611832
Position Surface form Disambiguated ID Type / Status
Subject Garmisch-Partenkirchen E76505 entity
Predicate hasSkiArea P1981 FINISHED
Object Hausberg
Hausberg is a popular ski mountain and recreational area near Garmisch-Partenkirchen in the Bavarian Alps.
 E373088 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: Hausberg | Statement: [Garmisch-Partenkirchen, hasSkiArea, Hausberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hausberg
Context triple: [Garmisch-Partenkirchen, hasSkiArea, Hausberg]
  • A. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • B. Saalhof
    Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
  • C. Wildhaus
    Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
  • D. House of Wassenberg
    The House of Wassenberg was a medieval noble dynasty from the Lower Rhine region that produced several counts and dukes, most notably rulers of Guelders.
  • E. Heden
    Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
  • 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: Hausberg
Triple: [Garmisch-Partenkirchen, hasSkiArea, Hausberg]
Generated description
Hausberg is a popular ski mountain and recreational area near Garmisch-Partenkirchen in the Bavarian Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hausberg
Target entity description: Hausberg is a popular ski mountain and recreational area near Garmisch-Partenkirchen in the Bavarian Alps.
  • A. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • B. Saalhof
    Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
  • C. Wildhaus
    Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
  • D. House of Wassenberg
    The House of Wassenberg was a medieval noble dynasty from the Lower Rhine region that produced several counts and dukes, most notably rulers of Guelders.
  • E. Heden
    Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22e5b30819084184b730732c727 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433136c94819099bc1d3846e54b07 completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b43710e1f48190b581c93a9f5003de completed March 13, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69b43777745c819097be79cd889da55c completed March 13, 2026, 4:12 p.m.
Created at: March 8, 2026, 3:23 p.m.