Triple

T17833979
Position Surface form Disambiguated ID Type / Status
Subject Old Town of Salzburg E445334 entity
Predicate contains P35 FINISHED
Object Domplatz 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: Domplatz | Statement: [Old Town of Salzburg, contains, Domplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domplatz
Context triple: [Old Town of Salzburg, contains, Domplatz]
  • A. Domplatz chosen
    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.
  • B. 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.
  • C. Roncalliplatz
    Roncalliplatz is a central public square in Cologne, Germany, situated by Cologne Cathedral and home to major cultural sites and events.
  • D. Marijinplatz
    Marijinplatz is the former name of Ljubljana’s central Prešeren Square, a key cultural and social gathering place in Slovenia’s capital.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2635a081909d4d48d22e260f8e completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:15 a.m.