Triple

T7083315
Position Surface form Disambiguated ID Type / Status
Subject Capuchin Church, Vienna E165009 entity
Predicate locatedNear P294 FINISHED
Object Kärntner Straße E348816 NE FINISHED

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: Kärntner Straße | Statement: [Capuchin Church, Vienna, locatedNear, Kärntner Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kärntner Straße
Context triple: [Capuchin Church, Vienna, locatedNear, Kärntner Straße]
  • A. Kärntner Straße chosen
    Kärntner Straße is one of Vienna’s most famous and busiest shopping streets, known for its pedestrian zone, historic architecture, and central location near major landmarks like St. Stephen’s Cathedral.
  • B. Seckbacher Landstraße
    Seckbacher Landstraße is a public transport stop in the Bornheim district of Frankfurt am Main, Germany.
  • C. Kochergasse
    Kochergasse is a central street in Bern, Switzerland, situated in the government district close to the Federal Palace and other key federal institutions.
  • D. Hofstallgasse
    Hofstallgasse is a historic street in Salzburg, Austria, known for housing major cultural landmarks including the Großes Festspielhaus of the Salzburg Festival.
  • E. Georgstraße
    Georgstraße is a major shopping and promenade street in the central district of Hanover, Germany, known for its retail stores, historic buildings, and cultural venues.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5102be08190bbde790bfa8fe9e2 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7947c32f081909340b05a46ae7bdd completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:40 p.m.