Triple

T16759038
Position Surface form Disambiguated ID Type / Status
Subject Rathaus Schöneberg station E407289 entity
Predicate namedAfter P63 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: [Rathaus Schöneberg station, namedAfter, Rathaus Schöneberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rathaus Schöneberg
Context triple: [Rathaus Schöneberg station, namedAfter, 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. Rathaus Steglitz
    Rathaus Steglitz is a historic municipal building and former administrative center in Berlin’s Steglitz district, notable for its distinctive architecture and role as a local landmark.
  • C. Rathaus Neukölln
    Rathaus Neukölln is the historic town hall and central administrative building of Berlin’s Neukölln district.
  • D. Rathaus Spandau
    Rathaus Spandau is an underground Berlin U-Bahn station in the Spandau district, serving as a key transport hub and western endpoint of line U7 near the historic town hall.
  • E. Rathaus Zehlendorf
    Rathaus Zehlendorf is the historic town hall and administrative center of Berlin’s Steglitz-Zehlendorf borough.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abeb3ab08190918f6bff686858be completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52b17b88190af24c04d16980c9f completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.