Triple

T12164956
Position Surface form Disambiguated ID Type / Status
Subject Bromley North railway station E289806 entity
Predicate stationCode P1289 FINISHED
Object BMN
BMN is the National Rail station code for Bromley North railway station in the London Borough of Bromley, England.
 E966593 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: BMN | Statement: [Bromley North railway station, stationCode, BMN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMN
Context triple: [Bromley North railway station, stationCode, BMN]
  • A. BM
    BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • B. BM
    BM is the post-nominal abbreviation used to denote recipients of the Bravery Medal, an Australian award for acts of courage.
  • C. BM
    BM is the vehicle registration code used on license plates for vehicles registered in the Cologne Government Region of Germany.
  • D. BM
    BM is the abbreviated name of Hungary’s Ministry of the Interior, the government body responsible for internal affairs, law enforcement, and public administration.
  • E. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, 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: BMN
Triple: [Bromley North railway station, stationCode, BMN]
Generated description
BMN is the National Rail station code for Bromley North railway station in the London Borough of Bromley, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMN
Target entity description: BMN is the National Rail station code for Bromley North railway station in the London Borough of Bromley, England.
  • A. BM
    BM is the post-nominal abbreviation used to denote recipients of the Bravery Medal, an Australian award for acts of courage.
  • B. BM
    BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • C. BM
    BM is the vehicle registration code used on license plates for vehicles registered in the Cologne Government Region of Germany.
  • D. BM
    BM is the abbreviated name of Hungary’s Ministry of the Interior, the government body responsible for internal affairs, law enforcement, and public administration.
  • E. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d7109481908bf5fe512bba3c89 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a2716081909620a9d11cfcc2d8 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6017f89d88190b766af7828794d87 completed May 2, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_69f60232d89881909f254da6deb7f321 completed May 2, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:50 p.m.