Triple

T15586852
Position Surface form Disambiguated ID Type / Status
Subject Bundeshaus E374643 entity
Predicate hasPlaza 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: [Bundeshaus, hasPlaza, Bundesplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesplatz
Context triple: [Bundeshaus, hasPlaza, Bundesplatz]
  • A. Bundesplatz
    Bundesplatz is a public square and transport hub in Berlin that serves as an important interchange point for city and suburban rail services.
  • B. 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.
  • C. Europaplatz
    Europaplatz is a public square in Munich, Germany, known as a local transport and urban hub within the city.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4900408190aadb48b001db4169 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00456b590c8190949fd23cb5cec1e8 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 4:11 a.m.