Triple

T15137034
Position Surface form Disambiguated ID Type / Status
Subject Tränenpalast E361580 entity
Predicate locatedIn P40 FINISHED
Object Friedrichstraße station E1047843 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: Friedrichstraße station | Statement: [Tränenpalast, locatedIn, Friedrichstraße station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrichstraße station
Context triple: [Tränenpalast, locatedIn, Friedrichstraße station]
  • A. Friedrichstraße station chosen
    Friedrichstraße station is a major railway and S-Bahn hub in central Berlin, historically known as a key border crossing point during the division of the city.
  • B. Hermannplatz station
    Hermannplatz station is a major Berlin U-Bahn interchange and historic underground station located beneath the busy Hermannplatz square in the Neukölln district.
  • C. Wittenbergplatz station
    Wittenbergplatz station is a historic and architecturally significant Berlin U-Bahn station located near the Kurfürstendamm shopping district.
  • D. Elbgaustraße station
    Elbgaustraße station is a Hamburg S-Bahn railway station in the Eidelstedt area of Hamburg, Germany, serving as a local commuter transit stop.
  • E. Heidelberger Platz station
    Heidelberger Platz station is a Berlin U-Bahn and S-Bahn interchange station in the Wilmersdorf district, serving as a key stop on multiple urban rail lines.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b59b488190b0016970647e7483 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfea8e3081909551a8e3936c13a6 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.