Triple

T10823427
Position Surface form Disambiguated ID Type / Status
Subject Blackheath railway station E255432 entity
Predicate hasStationCode P1289 FINISHED
Object BKH
BKH is the National Rail station code for Blackheath railway station in southeast London, England.
 E888194 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: BKH | Statement: [Blackheath railway station, hasStationCode, BKH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BKH
Context triple: [Blackheath railway station, hasStationCode, BKH]
  • A. KHI
    KHI is the IATA airport code for Jinnah International Airport serving Karachi, Pakistan.
  • B. KHI
    KHI is the commonly used abbreviation for Kawasaki Heavy Industries, a major Japanese multinational corporation known for manufacturing motorcycles, aerospace equipment, ships, and industrial machinery.
  • C. Pkhali
    Pkhali is a traditional Georgian dish of finely chopped vegetables or greens mixed with ground walnuts, garlic, herbs, and spices, often served as a cold appetizer.
  • D. Kharkhoda
    Kharkhoda is a town in the Sonipat district of the northern Indian state of Haryana, known for its agricultural surroundings and growing residential and commercial development.
  • E. Kutha
    Kutha was an ancient Mesopotamian city best known as the principal cult center of the underworld god Nergal.
  • 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: BKH
Triple: [Blackheath railway station, hasStationCode, BKH]
Generated description
BKH is the National Rail station code for Blackheath railway station in southeast London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BKH
Target entity description: BKH is the National Rail station code for Blackheath railway station in southeast London, England.
  • A. KHI
    KHI is the commonly used abbreviation for Kawasaki Heavy Industries, a major Japanese multinational corporation known for manufacturing motorcycles, aerospace equipment, ships, and industrial machinery.
  • B. KHI
    KHI is the IATA airport code for Jinnah International Airport serving Karachi, Pakistan.
  • C. Pkhali
    Pkhali is a traditional Georgian dish of finely chopped vegetables or greens mixed with ground walnuts, garlic, herbs, and spices, often served as a cold appetizer.
  • D. Kharkhoda
    Kharkhoda is a town in the Sonipat district of the northern Indian state of Haryana, known for its agricultural surroundings and growing residential and commercial development.
  • E. Kutha
    Kutha was an ancient Mesopotamian city best known as the principal cult center of the underworld god Nergal.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7344c551c8190a7491d468b8a4a04 completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8578428c8190a25d9008881d0114 completed April 14, 2026, 6:20 p.m.
NEDg Description generation batch_69de8e6f3fac8190bcd1675978d6d6d7 completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de8fa679cc81909cb51035e5403ce9 completed April 14, 2026, 7:04 p.m.
Created at: April 8, 2026, 9:19 p.m.