Triple

T17583270
Position Surface form Disambiguated ID Type / Status
Subject City of Lucerne E428255 entity
Predicate hasLandmark P105 FINISHED
Object Musegg Wall NE NERFINISHED

How this triple was built (2 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: Musegg Wall | Statement: [City of Lucerne, hasLandmark, Musegg Wall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musegg Wall
Context triple: [City of Lucerne, hasLandmark, Musegg Wall]
  • A. Musegg Wall chosen
    Musegg Wall is a well-preserved medieval city wall in Lucerne, Switzerland, known for its historic towers and panoramic views over the city and Lake Lucerne.
  • B. Shepherd’s Wall
    Shepherd’s Wall is a prominent sandstone rock formation and popular climbing and viewpoint area overlooking the city of Děčín in the Czech Republic.
  • C. Wall of Huy
    The Wall of Huy is a famously steep and decisive climb in professional road cycling, best known as the key ascent in the Belgian classic La Flèche Wallonne.
  • D. Bezengi Wall
    Bezengi Wall is a prominent, heavily glaciated mountain ridge in the central Caucasus, known for containing several of the range’s highest and most challenging peaks.
  • E. Benediktenwand
    Benediktenwand is a prominent mountain ridge in the Bavarian Prealps of Germany, popular for hiking, climbing, and panoramic views over the Isar valley and surrounding Alps.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cf556881908d2935b3761f65df completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.