Triple

T6453579
Position Surface form Disambiguated ID Type / Status
Subject Dorking railway station E139934 entity
Predicate stationCode P1289 FINISHED
Object DKG
DKG is the National Rail station code for Dorking railway station in Surrey, England.
E594570 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: DKG | Statement: [Dorking railway station, stationCode, DKG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DKG
Context triple: [Dorking railway station, stationCode, DKG]
  • A. DKS
    DKS is the stock ticker symbol for Dick's Sporting Goods, a major U.S. retail chain specializing in sporting goods and outdoor equipment.
  • B. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • C. DK
    DK is a South Korean singer and main vocalist of the K-pop boy group Seventeen, known for his powerful voice and energetic stage presence.
  • D. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • E. DK
    DK is the standard scholarly abbreviation for the Diels–Kranz collection of pre-Socratic Greek philosophical fragments.
  • 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: DKG
Triple: [Dorking railway station, stationCode, DKG]
Generated description
DKG is the National Rail station code for Dorking railway station in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DKG
Target entity description: DKG is the National Rail station code for Dorking railway station in Surrey, England.
  • A. DKS
    DKS is the stock ticker symbol for Dick's Sporting Goods, a major U.S. retail chain specializing in sporting goods and outdoor equipment.
  • B. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • C. DK
    DK is a South Korean singer and main vocalist of the K-pop boy group Seventeen, known for his powerful voice and energetic stage presence.
  • D. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • E. DK
    DK is the standard scholarly abbreviation for the Diels–Kranz collection of pre-Socratic Greek philosophical fragments.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069d1c7c481909df9d2369edf5e74 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bd982208190bbf5f00a85f7098d completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64d8fe71881908417dc1d3f242bd5 completed March 27, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69c64e5cd1b88190abcdc8af02991d1d completed March 27, 2026, 9:31 a.m.
Created at: March 22, 2026, 4:47 p.m.