Triple

T13727941
Position Surface form Disambiguated ID Type / Status
Subject Brading railway station E329714 entity
Predicate hasStationCode P1289 FINISHED
Object BDN
BDN is the National Rail station code for Brading railway station on the Isle of Wight, England.
 E1057055 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: BDN | Statement: [Brading railway station, hasStationCode, BDN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BDN
Context triple: [Brading railway station, hasStationCode, BDN]
  • A. Bdin
    Bdin is the historical name of the Bulgarian Danube port city now known as Vidin, which has long served as a regional fortress and trade center.
  • B. BPN
    BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
  • C. BND
    BND is the official currency code for the Brunei dollar, the national currency of Brunei Darussalam.
  • D. BND
    BND is the three-letter station code used to identify Bond Street station on the London Underground network.
  • E. BND
    BND is the National Rail station code for Brandon railway station in Suffolk, England.
  • 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: BDN
Triple: [Brading railway station, hasStationCode, BDN]
Generated description
BDN is the National Rail station code for Brading railway station on the Isle of Wight, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BDN
Target entity description: BDN is the National Rail station code for Brading railway station on the Isle of Wight, England.
  • A. Bdin
    Bdin is the historical name of the Bulgarian Danube port city now known as Vidin, which has long served as a regional fortress and trade center.
  • B. BPN
    BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
  • C. BND
    BND is the three-letter station code used to identify Bond Street station on the London Underground network.
  • D. BND
    BND is the official currency code for the Brunei dollar, the national currency of Brunei Darussalam.
  • E. BND
    BND is the National Rail station code for Brandon railway station in Suffolk, England.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f746cc8190abde237bbb7e6c78 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d6302e081908e2680443852d9fd completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e77b5e88190a85f4061c8abb8a4 completed May 3, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f79fa5249481909b2c046ed9801371 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:55 p.m.