Triple

T19621070
Position Surface form Disambiguated ID Type / Status
Subject Amthausgasse E471007 entity
Predicate hasUrbanContext P17246 FINISHED
Object Bern city center 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: Bern city center | Statement: [Amthausgasse, hasUrbanContext, Bern city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bern city center
Context triple: [Amthausgasse, hasUrbanContext, Bern city center]
  • A. Basel city center
    Basel city center is the historic and commercial heart of Basel, known for its medieval streets, major squares, shops, and cultural attractions along the Rhine.
  • B. Zürich city centre
    Zürich city centre is the historic and commercial heart of Zurich, Switzerland, known for its medieval old town, major shopping streets, and key cultural and financial institutions.
  • C. Bern, Switzerland chosen
    Bern, Switzerland is the de facto capital of Switzerland, known for its well-preserved medieval old town, political institutions, and cultural heritage.
  • D. Basel-Stadt
    Basel-Stadt is a small, urban Swiss canton centered on the city of Basel, a major cultural and economic hub in northwestern Switzerland.
  • E. Berne
    Berne is the de facto capital city of Switzerland and the seat of its federal government institutions.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e668408190bc1e12a336b0687b completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:43 p.m.