Triple

T3053422
Position Surface form Disambiguated ID Type / Status
Subject Birmingham Moor Street E60423 entity
Predicate stationCode P1289 FINISHED
Object BMO
BMO is the National Rail station code for Birmingham Moor Street railway station in Birmingham, England.
 E322396 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: BMO | Statement: [Birmingham Moor Street, stationCode, BMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMO
Context triple: [Birmingham Moor Street, stationCode, BMO]
  • A. BMO
    BMO is a sentient, childlike video game console and robot who serves as a loyal friend and roommate to Finn and Jake in the animated series Adventure Time.
  • B. Scotiabank
    Scotiabank is one of Canada's largest multinational banks, offering a wide range of financial services across the Americas and other global markets.
  • C. Nomura
    Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
  • D. BOCHK
    BOCHK is the commonly used abbreviation for Bank of China (Hong Kong), a major commercial banking group based in Hong Kong.
  • E. Barclay
    Barclay is a brand of cigarettes introduced by Brown & Williamson, known for its low-tar marketing and distinctive filter design.
  • 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: BMO
Triple: [Birmingham Moor Street, stationCode, BMO]
Generated description
BMO is the National Rail station code for Birmingham Moor Street railway station in Birmingham, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMO
Target entity description: BMO is the National Rail station code for Birmingham Moor Street railway station in Birmingham, England.
  • A. BMO
    BMO is a sentient, childlike video game console and robot who serves as a loyal friend and roommate to Finn and Jake in the animated series Adventure Time.
  • B. Scotiabank
    Scotiabank is one of Canada's largest multinational banks, offering a wide range of financial services across the Americas and other global markets.
  • C. Nomura
    Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
  • D. BOCHK
    BOCHK is the commonly used abbreviation for Bank of China (Hong Kong), a major commercial banking group based in Hong Kong.
  • E. Barclay
    Barclay is a brand of cigarettes introduced by Brown & Williamson, known for its low-tar marketing and distinctive filter design.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf51b5081908ce355a76cfa9e3c completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef00630c8190a3b5b2854350ecb9 completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1efa8c11081908661b33e465e11bc completed March 11, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69b1f05e44e08190be8b194938b6c1c7 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:01 p.m.