Triple

T15735798
Position Surface form Disambiguated ID Type / Status
Subject Schulstraße (Berlin) E381466 entity
Predicate hasNearbyPlace P3449 FINISHED
Object Leopoldplatz (Berlin) E71403 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: Leopoldplatz (Berlin) | Statement: [Schulstraße (Berlin), hasNearbyPlace, Leopoldplatz (Berlin)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leopoldplatz (Berlin)
Context triple: [Schulstraße (Berlin), hasNearbyPlace, Leopoldplatz (Berlin)]
  • A. Fehrbelliner Platz
    Fehrbelliner Platz is a Berlin U-Bahn station in the Wilmersdorf district that serves as a key transfer point between multiple subway lines.
  • B. Leopoldplatz chosen
    Leopoldplatz is a major public square and important transport hub in Berlin’s Wedding district, served by multiple U-Bahn lines and numerous bus routes.
  • C. Leipziger Platz
    Leipziger Platz is a historic square in central Berlin, Germany, known for its reconstruction after German reunification and its proximity to Potsdamer Platz.
  • D. Königsplatz, Berlin
    Königsplatz, Berlin was a prominent square in central Berlin that historically served as a key military and governmental hub in the German capital.
  • E. Nollendorfplatz
    Nollendorfplatz is a well-known square in Berlin’s Schöneberg district, noted for its vibrant LGBTQ+ scene, nightlife, and historic architecture.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd586a88190aa1b1b88368d386f completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8769aaac8190b41141eaa5ac6944 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:46 a.m.