Triple

T6230922
Position Surface form Disambiguated ID Type / Status
Subject S7 E139349 entity
Predicate viaStation P64719 FINISHED
Object Savignyplatz E438585 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: Savignyplatz | Statement: [S7, viaStation, Savignyplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savignyplatz
Context triple: [S7, viaStation, Savignyplatz]
  • A. Savignyplatz chosen
    Savignyplatz is a well-known square and surrounding neighborhood in Berlin’s Charlottenburg district, noted for its lively cafés, restaurants, and historic urban charm.
  • B. Hermannplatz
    Hermannplatz is a major Berlin U-Bahn station and transport hub in the Neukölln district, known for its historic architecture and busy commercial surroundings.
  • C. Barfüsserplatz
    Barfüsserplatz is a central public square in Basel, Switzerland, known as a major tram hub and venue for markets and city events.
  • D. Münsterplatz
    Münsterplatz is a historic central square in Bern’s Old City, known for its location beside the Bern Minster and its role as a prominent public gathering space.
  • E. 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.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062ec5be4819084d6df2e8dd2a542 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20de90ba08190be1e0c44b5b13f53 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:22 p.m.