Triple

T6173842
Position Surface form Disambiguated ID Type / Status
Subject Wannsee district E137768 entity
Predicate contains P35 FINISHED
Object Wannsee railway station E26291 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: Wannsee railway station | Statement: [Wannsee district, contains, Wannsee railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wannsee railway station
Context triple: [Wannsee district, contains, Wannsee railway station]
  • A. Berlin-Wannsee station chosen
    Berlin-Wannsee station is a major railway and S-Bahn hub in southwestern Berlin, serving as an important interchange for regional, suburban, and long-distance trains near the Wannsee lake.
  • B. Nordostbahnhof station
    Nordostbahnhof station is an underground Nuremberg U-Bahn stop in the city’s northeast, serving the Nordostbahnhof area on line U2.
  • C. Weimar-Buchenwald railway station
    Weimar-Buchenwald railway station is a small German railway stop historically associated with access to the former Buchenwald concentration camp near Weimar.
  • D. Possenhofen station
    Possenhofen station is a regional railway stop in the municipality of Pöcking, Bavaria, serving the area near Lake Starnberg.
  • E. Emmerich station
    Emmerich station is a railway station in the German town of Emmerich am Rhein that serves as a regional and cross-border transport hub near the Dutch border.
  • 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d94c47481909745b2533926a1ca completed March 22, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141b200788190bd8d968edba53e5f completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:18 p.m.