Triple

T4334253
Position Surface form Disambiguated ID Type / Status
Subject Rhys Ifans E97424 entity
Predicate notableWork P4 FINISHED
Object Berlin Station E345863 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 Station | Statement: [Rhys Ifans, notableWork, Berlin Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berlin Station
Context triple: [Rhys Ifans, notableWork, 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 is a passenger rail station in Berlin, Connecticut, serving Amtrak and CTrail Hartford Line trains.
  • C. Berlin-Westkreuz station
    Berlin-Westkreuz station is a major Berlin S-Bahn interchange in the west of the city, serving as a key junction for multiple suburban rail lines.
  • D. 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.
  • E. Berlin Ostbahnhof
    Berlin Ostbahnhof is one of Berlin’s main railway hubs, serving long-distance, regional, and S-Bahn trains in the eastern part of the city.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351516d488190b5b3d1936e3a325d completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5c527d481908aa5552838e1f7d1 completed March 14, 2026, 11:56 p.m.
Created at: March 12, 2026, 11:14 p.m.