Triple

T15845745
Position Surface form Disambiguated ID Type / Status
Subject Berlin Waidmannslust station E384207 entity
Predicate connectsTo P845 FINISHED
Object Berlin Frohnau station E1119457 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: Berlin Frohnau station | Statement: [Berlin Waidmannslust station, connectsTo, Berlin Frohnau station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berlin Frohnau station
Context triple: [Berlin Waidmannslust station, connectsTo, Berlin Frohnau station]
  • A. Berlin Nikolassee station
    Berlin Nikolassee station is a railway station in Berlin’s Nikolassee district that serves regional and S-Bahn commuter trains.
  • B. Berlin Waidmannslust station
    Berlin Waidmannslust station is a suburban railway station in Berlin’s Waidmannslust district, serving as a stop on the city’s S-Bahn network.
  • C. Berlin Lichtenberg station
    Berlin Lichtenberg station is a major railway and S-Bahn hub in eastern Berlin that serves regional, long-distance, and local commuter traffic.
  • D. Berlin Gesundbrunnen station
    Berlin Gesundbrunnen station is a major railway and public transport hub in Berlin, Germany, serving regional, long-distance, and urban transit lines.
  • E. Frohnau station chosen
    Frohnau station is a suburban railway station in Berlin’s Frohnau district that serves as a key stop on the city’s S-Bahn network.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca636048190bc89cd8b4efa89e9 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa143dcb48190951648edeae6542d completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.