Triple

T686271
Position Surface form Disambiguated ID Type / Status
Subject Schöneberg E13289 entity
Predicate hasLandmark P105 FINISHED
Object Rathaus Schöneberg E4968 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: Rathaus Schöneberg | Statement: [Schöneberg, hasLandmark, Rathaus Schöneberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rathaus Schöneberg
Context triple: [Schöneberg, hasLandmark, Rathaus Schöneberg]
  • A. Rathaus Schöneberg chosen
    Rathaus Schöneberg is a historic town hall in Berlin best known as the site of John F. Kennedy’s famous 1963 “Ich bin ein Berliner” speech.
  • B. Kroll Opera House, Berlin
    The Kroll Opera House in Berlin was a historic theater that became infamous as the temporary seat of the German Reichstag where the Nazi-drafted Enabling Act of 1933 was passed, effectively dismantling the Weimar Republic’s democracy.
  • C. Leopoldplatz
    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.
  • D. Schöneberg
    Schöneberg is a district of Berlin, Germany, historically notable as the site of John F. Kennedy’s famous “Ich bin ein Berliner” speech.
  • E. Alt-Tempelhof
    Alt-Tempelhof is an underground station on Berlin’s U-Bahn network serving the Tempelhof district in the southern part of the city.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a093ac988190bb339616a3ed5adb completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6374ee9ac819091abef4167e3433e completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:36 p.m.