Triple

T23553607
Position Surface form Disambiguated ID Type / Status
Subject Ostkreuz E578119 entity
Predicate formerName P65 FINISHED
Object Stralau-Rummelsburg NE NERFINISHED

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: Stralau-Rummelsburg | Statement: [Ostkreuz, formerName, Stralau-Rummelsburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stralau-Rummelsburg
Context triple: [Ostkreuz, formerName, Stralau-Rummelsburg]
  • A. Stralau-Rummelsburg chosen
    Stralau-Rummelsburg was the historical name of a railway station in Berlin that later became known as Berlin Ostkreuz, one of the city’s major rail hubs.
  • B. Rummelsburg
    Rummelsburg is a locality in the Berlin borough of Lichtenberg, known for its lakeside setting along the Rummelsburger See and a mix of industrial heritage and newer residential developments.
  • C. Osterburg
    Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
  • D. Ramingstein
    Ramingstein is a small Austrian municipality in the Lungau region of Salzburg, known for its alpine setting and historic silver mining heritage.
  • E. Rumeln-Kaldenhausen
    Rumeln-Kaldenhausen is a district of the Duisburg area in western Germany, known as a predominantly residential suburb with local commercial and community facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aed17fc881908b45dcde14790d42 completed April 29, 2026, 7:10 a.m.
Created at: April 17, 2026, 6:11 p.m.