Triple

T15586685
Position Surface form Disambiguated ID Type / Status
Subject Luitpoldbrücke E374639 entity
Predicate connects P390 FINISHED
Object Prinzregentenstraße east bank E890488 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: Prinzregentenstraße east bank | Statement: [Luitpoldbrücke, connects, Prinzregentenstraße east bank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prinzregentenstraße east bank
Context triple: [Luitpoldbrücke, connects, Prinzregentenstraße east bank]
  • A. Prinzregentenstraße chosen
    Prinzregentenstraße is a major boulevard in Munich, Germany, known for its grand architecture, cultural institutions, and role as one of the city’s historic royal avenues.
  • B. Prinzregentenplatz
    Prinzregentenplatz is a notable square in Munich, Germany, known for its historical significance and prominent surrounding buildings.
  • C. Stadthausquai
    Stadthausquai is a central riverside street in Zurich, Switzerland, running along the Limmat near the historic old town and key municipal buildings.
  • D. Luisenstraße
    Luisenstraße is a central street in Berlin, Germany, known for running through the government district near the Reichstag and major cultural and academic institutions.
  • E. Königsplatz
    Königsplatz is a central square in the Bavarian city of Fürth, Germany, known as an important local transport and urban hub.
  • 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_69ff56c5baac819099d53896f6a35d94 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:11 a.m.