Triple

T18480741
Position Surface form Disambiguated ID Type / Status
Subject Berchtesgadener Hochthron E451548 entity
Predicate isHighestPointOf P210 FINISHED
Object Untersberg massif (German side) NE NERFINISHED

How this triple was built (3 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: Untersberg massif (German side) | Statement: [Berchtesgadener Hochthron, isHighestPointOf, Untersberg massif (German side)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Untersberg massif (German side)
Context triple: [Berchtesgadener Hochthron, isHighestPointOf, Untersberg massif (German side)]
  • A. Zugspitze summit region
    The Zugspitze summit region is the high-alpine area surrounding the peak of Germany’s highest mountain, featuring panoramic viewpoints, glacier landscapes, and tourist facilities accessible by cable car.
  • B. Deutschlandsberg
    Deutschlandsberg is a small Austrian town in the southwest of the state of Styria, known for its surrounding vineyards, castle, and scenic hilly landscape.
  • C. Landshut-Berg
    Landshut-Berg is a district of the Bavarian city of Landshut in Germany, known for its historic hillside setting and proximity to the medieval Trausnitz Castle.
  • D. Ausserberg
    Ausserberg is a small Swiss mountain village and municipality in the canton of Valais, known for its scenic alpine setting and traditional rural character.
  • E. Allersberg
    Allersberg is a market town in the Roth district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Untersberg massif (German side)
Target entity description: The Untersberg massif (German side) is a prominent limestone mountain range in the Berchtesgaden Alps, known for its steep cliffs, extensive cave systems, and panoramic views over Bavaria and Salzburg.
  • A. Zugspitze summit region
    The Zugspitze summit region is the high-alpine area surrounding the peak of Germany’s highest mountain, featuring panoramic viewpoints, glacier landscapes, and tourist facilities accessible by cable car.
  • B. Deutschlandsberg
    Deutschlandsberg is a small Austrian town in the southwest of the state of Styria, known for its surrounding vineyards, castle, and scenic hilly landscape.
  • C. Landshut-Berg
    Landshut-Berg is a district of the Bavarian city of Landshut in Germany, known for its historic hillside setting and proximity to the medieval Trausnitz Castle.
  • D. Ausserberg
    Ausserberg is a small Swiss mountain village and municipality in the canton of Valais, known for its scenic alpine setting and traditional rural character.
  • E. Allersberg
    Allersberg is a market town in the Roth district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
  • F. None of above. chosen

Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53066a7108190a50eda9b489c90ca completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:35 a.m.