Triple

T19414468
Position Surface form Disambiguated ID Type / Status
Subject Bern Old Town E485671 entity
Predicate hasPart P35 FINISHED
Object Bundesplatz 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: Bundesplatz | Statement: [Bern Old Town, hasPart, Bundesplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesplatz
Context triple: [Bern Old Town, hasPart, Bundesplatz]
  • A. Bundesplatz chosen
    Bundesplatz is the central public square in Bern, Switzerland, located in front of the Federal Palace and often used for political events, markets, and public gatherings.
  • B. Bundesplatz
    Bundesplatz is a public square and transport hub in Berlin that serves as an important interchange point for city and suburban rail services.
  • C. Konkordiaplatz
    Konkordiaplatz is a vast glacial basin in the Bernese Alps where several major glaciers, including the Aletsch Glacier, converge.
  • D. Europaplatz
    Europaplatz is a public square in Munich, Germany, known as a local transport and urban hub within the city.
  • E. Schlossplatz
    Schlossplatz is the central and largest square in Stuttgart, Germany, known for its historic architecture, gardens, and role as a major cultural and social gathering place.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af834fc81908cb176076de10c1c completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.