Triple

T21105173
Position Surface form Disambiguated ID Type / Status
Subject Bergen Station E520020 entity
Predicate hasStationCode P1289 FINISHED
Object BGN
BGN is the station code for Bergen Station, the main railway hub in Bergen, Norway.
E1467001 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: BGN | Statement: [Bergen Station, hasStationCode, BGN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BGN
Context triple: [Bergen Station, hasStationCode, BGN]
  • A. BGN
    BGN is the standard abbreviation for the U.S. Board on Geographic Names, the federal body that maintains uniform geographic name usage across the United States government.
  • B. BGN
    BGN is the official currency code for the Bulgarian lev, the national currency of Bulgaria.
  • C. BGN
    BGN is the National Rail station code for Bridgend railway station in South Wales, United Kingdom.
  • D. Bgn
    Bgn is the official station code used to identify Bergen op Zoom railway station in the Netherlands.
  • E. BZG
    BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
  • 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: BGN
Triple: [Bergen Station, hasStationCode, BGN]
Generated description
BGN is the station code for Bergen Station, the main railway hub in Bergen, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BGN
Target entity description: BGN is the station code for Bergen Station, the main railway hub in Bergen, Norway.
  • A. BGN
    BGN is the standard abbreviation for the U.S. Board on Geographic Names, the federal body that maintains uniform geographic name usage across the United States government.
  • B. BGN
    BGN is the official currency code for the Bulgarian lev, the national currency of Bulgaria.
  • C. BGN
    BGN is the National Rail station code for Bridgend railway station in South Wales, United Kingdom.
  • D. Bgn
    Bgn is the official station code used to identify Bergen op Zoom railway station in the Netherlands.
  • E. BZG
    BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b6150f08190a3738f1eda7fa834 completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a64af448190b307dff9d4a87baf completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095c4b5ad8819093e5c0de866be84b completed May 17, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a095cda3c8081908d85b3da4fc1c06f completed May 17, 2026, 6:14 a.m.
Created at: April 16, 2026, 2:53 p.m.