Triple

T23066414
Position Surface form Disambiguated ID Type / Status
Subject Marebbe E575053 entity
Predicate hasNearbySkiArea P1981 FINISHED
Object Kronplatz 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: Kronplatz | Statement: [Marebbe, hasNearbySkiArea, Kronplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kronplatz
Context triple: [Marebbe, hasNearbySkiArea, Kronplatz]
  • A. Kronplatz chosen
    Kronplatz is a major ski and outdoor recreation area in the Dolomites of South Tyrol, Italy, known for its extensive slopes and panoramic mountain views.
  • B. Domplatz
    Domplatz is the central cathedral square in Salzburg’s historic Old Town, known for its baroque architecture and role as a focal point for religious and cultural events.
  • C. Domplatz
    Domplatz is a historic square in Frankfurt am Main, Germany, located by the city’s cathedral and known as a central site of urban and cultural life.
  • D. Domplatz
    Domplatz is the historic cathedral square in Verden an der Aller, Germany, serving as a central public space surrounded by notable ecclesiastical and old town buildings.
  • E. Sechseläutenplatz
    Sechseläutenplatz is a major public square in central Zurich, Switzerland, known for hosting cultural events and festivals and for being one of the city’s largest urban plazas.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a3e39481909cad356ad0bb3ee6 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.