Triple

T7236032
Position Surface form Disambiguated ID Type / Status
Subject Neukölln E155228 entity
Predicate hasLandmark P105 FINISHED
Object Hermannplatz E419540 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: Hermannplatz | Statement: [Neukölln, hasLandmark, Hermannplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermannplatz
Context triple: [Neukölln, hasLandmark, Hermannplatz]
  • A. Hermannplatz chosen
    Hermannplatz is a major Berlin U-Bahn station and transport hub in the Neukölln district, known for its historic architecture and busy commercial surroundings.
  • B. Mehringplatz
    Mehringplatz is a historic circular square in Berlin’s Kreuzberg district, known for its postwar modernist housing complex and role as a major southern terminus of Friedrichstraße.
  • C. Savignyplatz
    Savignyplatz is a well-known square and surrounding neighborhood in Berlin’s Charlottenburg district, noted for its lively cafés, restaurants, and historic urban charm.
  • D. 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.
  • E. Heidelberger Platz
    Heidelberger Platz is a Berlin U-Bahn and S-Bahn interchange station in the Wilmersdorf district, known for its distinctive vaulted architecture and role as a transport hub on the city’s Ringbahn.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea33dd3481908ebb050e1fab5aaa completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8275b07d08190a796f2b9884fcc33 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 2:55 p.m.