Triple

T20963643
Position Surface form Disambiguated ID Type / Status
Subject Kirkby Stephen railway station E516311 entity
Predicate stationCode P1289 FINISHED
Object KSW
KSW is the National Rail station code for Kirkby Stephen railway station in Cumbria, England.
E1459848 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: KSW | Statement: [Kirkby Stephen railway station, stationCode, KSW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KSW
Context triple: [Kirkby Stephen railway station, stationCode, KSW]
  • A. KSWI
    KSWI is the ICAO airport code for Sherman Municipal Airport, a public airport serving Sherman, Texas, in the United States.
  • B. KSWF
    KSWF is the ICAO airport code for Stewart International Airport, a public airport in New York’s Hudson Valley serving both civilian and military aviation.
  • C. K-1
    K-1 is a Japanese kickboxing organization best known for its heavyweight tournaments and global influence on stand-up combat sports.
  • D. K-1
    K-1 is a partially reusable two-stage orbital launch vehicle concept developed by Rocketplane Kistler for commercial satellite delivery and space station resupply.
  • E. WKF
    WKF is the acronym for the World Karate Federation, the international governing body responsible for overseeing and promoting sport karate worldwide.
  • 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: KSW
Triple: [Kirkby Stephen railway station, stationCode, KSW]
Generated description
KSW is the National Rail station code for Kirkby Stephen railway station in Cumbria, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KSW
Target entity description: KSW is the National Rail station code for Kirkby Stephen railway station in Cumbria, England.
  • A. KSWI
    KSWI is the ICAO airport code for Sherman Municipal Airport, a public airport serving Sherman, Texas, in the United States.
  • B. KSWF
    KSWF is the ICAO airport code for Stewart International Airport, a public airport in New York’s Hudson Valley serving both civilian and military aviation.
  • C. K-1
    K-1 is a Japanese kickboxing organization best known for its heavyweight tournaments and global influence on stand-up combat sports.
  • D. K-1
    K-1 is a partially reusable two-stage orbital launch vehicle concept developed by Rocketplane Kistler for commercial satellite delivery and space station resupply.
  • E. WKF
    WKF is the acronym for the World Karate Federation, the international governing body responsible for overseeing and promoting sport karate worldwide.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb710d6c8190a2daacaad3b22683 completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09279a50bc8190a2ac4bda770fe6fa completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a0928b4be448190bd862c8f971e61d9 completed May 17, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0929734a5c8190911e54b601118bae completed May 17, 2026, 2:35 a.m.
Created at: April 16, 2026, 1:32 p.m.