Triple

T15493955
Position Surface form Disambiguated ID Type / Status
Subject Palais fédéral E378765 entity
Predicate hasPublicSquare P13926 FINISHED
Object Bundesplatz E105383 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: Bundesplatz | Statement: [Palais fédéral, hasPublicSquare, Bundesplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesplatz
Context triple: [Palais fédéral, hasPublicSquare, 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. 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.
  • D. Schlossplatz
    Schlossplatz is a historic central square in Berlin that once fronted the Berlin City Palace and now serves as the site of the reconstructed Humboldt Forum.
  • E. Schlossplatz
    Schlossplatz is the central historic square of Wiesbaden, Germany, surrounded by notable buildings such as the city palace and town hall and serving as a key venue for public events.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffee31b70819092d0583100a7101a completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 3:49 a.m.