Triple

T7292630
Position Surface form Disambiguated ID Type / Status
Subject East Kilbride railway station E164433 entity
Predicate hasStationCode P1289 FINISHED
Object EKL
EKL is the National Rail station code for East Kilbride railway station in South Lanarkshire, Scotland.
E656013 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: EKL | Statement: [East Kilbride railway station, hasStationCode, EKL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EKL
Context triple: [East Kilbride railway station, hasStationCode, EKL]
  • A. EKM
    EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
  • B. EKO
    EKO is the three-letter IATA airport code for Elko Regional Airport, a public airport serving Elko, Nevada, in the United States.
  • C. KLE
    KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
  • D. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • E. EK
    EK was the New York Stock Exchange ticker symbol for Eastman Kodak Company, the historic American photography and imaging corporation.
  • 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: EKL
Triple: [East Kilbride railway station, hasStationCode, EKL]
Generated description
EKL is the National Rail station code for East Kilbride railway station in South Lanarkshire, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EKL
Target entity description: EKL is the National Rail station code for East Kilbride railway station in South Lanarkshire, Scotland.
  • A. EKM
    EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
  • B. EKO
    EKO is the three-letter IATA airport code for Elko Regional Airport, a public airport serving Elko, Nevada, in the United States.
  • C. KLE
    KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
  • D. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • E. EK
    EK was the New York Stock Exchange ticker symbol for Eastman Kodak Company, the historic American photography and imaging corporation.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb6fc5788190b1b339d051f93c22 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e53faa0481909758a7366cbbe99f completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e68e8cc08190b21a9d095bb96394 completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e76f3cd88190957e096c81e6e803 completed March 28, 2026, 2:36 p.m.
Created at: March 27, 2026, 3 p.m.