Triple

T3381438
Position Surface form Disambiguated ID Type / Status
Subject Afrikanische Straße E71192 entity
Predicate hasAdjacentStation P231 FINISHED
Object Kurt-Schumacher-Platz E71191 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: Kurt-Schumacher-Platz | Statement: [Afrikanische Straße, hasAdjacentStation, Kurt-Schumacher-Platz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurt-Schumacher-Platz
Context triple: [Afrikanische Straße, hasAdjacentStation, Kurt-Schumacher-Platz]
  • A. Kurt-Schumacher-Platz chosen
    Kurt-Schumacher-Platz is an underground station on Berlin’s U-Bahn network serving the Reinickendorf district in the north of the city.
  • B. Viktoria-Luise-Platz
    Viktoria-Luise-Platz is a historic, park-like square and U-Bahn station area in Berlin known for its distinctive circular layout and surrounding early 20th-century architecture.
  • C. Max-Josefs-Platz
    Max-Josefs-Platz is a historic central square in Rosenheim, Germany, known for its picturesque old-town architecture, shops, and cafés.
  • D. Stephansplatz
    Stephansplatz is the central square of Vienna, Austria, known for its historic architecture and as the site of St. Stephen's Cathedral.
  • E. Tiergärtnertorplatz
    Tiergärtnertorplatz is a historic square in Nuremberg’s old town, known for its medieval atmosphere, half-timbered houses, and proximity to the city’s castle complex.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5e9af608190bfb228ef99a87bb7 completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bb0cd188190b07ef54365e00afe completed March 13, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:14 p.m.