Triple

T19715967
Position Surface form Disambiguated ID Type / Status
Subject Franziskanerkirche (Salzburg) E473476 entity
Predicate locatedNear P294 FINISHED
Object Getreidegasse 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: Getreidegasse | Statement: [Franziskanerkirche (Salzburg), locatedNear, Getreidegasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getreidegasse
Context triple: [Franziskanerkirche (Salzburg), locatedNear, Getreidegasse]
  • A. Getreidegasse chosen
    Getreidegasse is a famous historic shopping street in Salzburg’s Old Town, known for its narrow medieval houses, ornate guild signs, and as the birthplace of Wolfgang Amadeus Mozart.
  • B. Freßgass
    Freßgass is a famous upscale shopping and dining street in central Frankfurt, known for its luxury boutiques, delicatessens, and vibrant café culture.
  • C. Gerichtstraße
    Gerichtstraße is a street in Berlin, Germany, located in the Wedding district and known for its mix of residential buildings, commercial spaces, and cultural venues.
  • D. Gartenstraße
    Gartenstraße is a street in Frankfurt am Main, Germany, located near Schweizer Platz in the Sachsenhausen district.
  • E. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440d96288190bfb732d2f8ceac79 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.