Triple

T20674723
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Hoeks E508128 entity
Predicate appearedIn P795 FINISHED
Object Berlin Station 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: Berlin Station | Statement: [Sylvia Hoeks, appearedIn, Berlin Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin Station
Context triple: [Sylvia Hoeks, appearedIn, Berlin Station]
  • A. Berlin Station chosen
    Berlin Station is an American espionage drama television series that follows CIA officers operating out of the agency’s Berlin branch as they navigate complex political and intelligence conflicts.
  • B. Berlin station
    Berlin station was the original name of the main railway station in Kitchener, Ontario, reflecting the city’s former name of Berlin before it was changed during World War I.
  • C. Berlin station
    Berlin station is a passenger rail station in Berlin, Connecticut, serving Amtrak and CTrail Hartford Line trains.
  • D. Berlin Ostkreuz station
    Berlin Ostkreuz station is one of Berlin’s busiest and most important railway and S-Bahn interchange hubs, serving as a major transit node in the city’s eastern area.
  • E. Berlin Alexanderplatz station
    Berlin Alexanderplatz station is a major transport hub in central Berlin, serving regional and S-Bahn trains as well as U-Bahn and tram lines near the historic Alexanderplatz square.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cdbec48190a945261c41d810ce completed April 20, 2026, 11:25 p.m.
Created at: April 16, 2026, 11:44 a.m.