Triple

T15845739
Position Surface form Disambiguated ID Type / Status
Subject Berlin Waidmannslust station E384207 entity
Predicate hasStationCode P1289 FINISHED
Object BWD
BWD is the station code for Berlin Waidmannslust, a railway station in Berlin, Germany.
 E1179884 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 Waidmannslust station, hasStationCode, BWD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BWD
Context triple: [Berlin Waidmannslust station, hasStationCode, BWD]
  • A. BWD
    BWD is the station code used to identify Berlin Wedding station in the German railway network.
  • B. BWD
    BWD is the station code for the Long Island Rail Road's Broadway station in Queens, New York.
  • C. BWN
    BWN is the IATA airport code for Brunei International Airport, the main gateway to the nation of Brunei.
  • D. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • E. .bw
    .bw is the country code top-level domain (ccTLD) assigned to Botswana for use on the internet.
  • 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 Waidmannslust station, hasStationCode, BWD]
Generated description
BWD is the station code for Berlin Waidmannslust, a railway station in Berlin, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BWD
Target entity description: BWD is the station code for Berlin Waidmannslust, a railway station in Berlin, Germany.
  • A. BWD
    BWD is the station code for the Long Island Rail Road's Broadway station in Queens, New York.
  • B. BWD
    BWD is the station code used to identify Berlin Wedding station in the German railway network.
  • C. BWN
    BWN is the IATA airport code for Brunei International Airport, the main gateway to the nation of Brunei.
  • D. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • E. .bw
    .bw is the country code top-level domain (ccTLD) assigned to Botswana for use on the internet.
  • 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_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.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:50 a.m.