Triple

T14266146
Position Surface form Disambiguated ID Type / Status
Subject Berlin Wedding station E353648 entity
Predicate hasStationCode P1289 FINISHED
Object BWD
BWD is the station code used to identify Berlin Wedding station in the German railway network.
 E1090274 NE FINISHED

How this triple was built (4 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: BWD | Statement: [Berlin Wedding station, hasStationCode, BWD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BWD
Context triple: [Berlin Wedding station, hasStationCode, BWD]
  • A. BWD
    BWD is the station code for the Long Island Rail Road's Broadway station in Queens, New York.
  • B. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • C. .bw
    .bw is the country code top-level domain (ccTLD) assigned to Botswana for use on the internet.
  • D. BWC
    BWC is an international treaty that prohibits the development, production, and stockpiling of biological and toxin weapons.
  • E. BWC
    BWC is the commonly used abbreviation for the Biathlon World Championships, the premier international competition in the sport of biathlon.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BWD
Triple: [Berlin Wedding station, hasStationCode, BWD]
Generated description
BWD is the station code used to identify Berlin Wedding station in the German railway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BWD
Target entity description: BWD is the station code used to identify Berlin Wedding station in the German railway network.
  • A. BWD
    BWD is the station code for the Long Island Rail Road's Broadway station in Queens, New York.
  • B. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • C. .bw
    .bw is the country code top-level domain (ccTLD) assigned to Botswana for use on the internet.
  • D. BWC
    BWC is an international treaty that prohibits the development, production, and stockpiling of biological and toxin weapons.
  • E. BWC
    BWC is the commonly used abbreviation for the Biathlon World Championships, the premier international competition in the sport of biathlon.
  • F. None of above. chosen

Provenance (5 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6358c2288190ac1fd26e688a605d completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326551b08190ae8fe220a6422339 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd3417e8e88190b099bfe4ba30f364 completed May 8, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_69fd37df3dfc8190a594abb2c14e11bb completed May 8, 2026, 1:09 a.m.
Created at: April 10, 2026, 1:09 a.m.