Triple

T17765105
Position Surface form Disambiguated ID Type / Status
Subject Kilwinning railway station E443482 entity
Predicate stationCode P1289 FINISHED
Object KWN
KWN is the National Rail station code for Kilwinning railway station in North Ayrshire, Scotland.
E1287418 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: KWN | Statement: [Kilwinning railway station, stationCode, KWN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KWN
Context triple: [Kilwinning railway station, stationCode, KWN]
  • A. KEWN
    KEWN is the ICAO airport code for Coastal Carolina Regional Airport, a public airport serving New Bern in Craven County, North Carolina.
  • B. KVWN
    KVWN is the fictional San Diego television news station featured in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • C. WKG
    WKG is the National Rail station code for Workington railway station in Cumbria, England.
  • D. KNUW
    KNUW is the ICAO airport code for Naval Air Station Whidbey Island, a major U.S. Navy aviation facility in Washington State.
  • E. KWT
    KWT is the three-letter ISO 3166-1 alpha-3 country code assigned to Kuwait.
  • 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: KWN
Triple: [Kilwinning railway station, stationCode, KWN]
Generated description
KWN is the National Rail station code for Kilwinning railway station in North Ayrshire, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KWN
Target entity description: KWN is the National Rail station code for Kilwinning railway station in North Ayrshire, Scotland.
  • A. KEWN
    KEWN is the ICAO airport code for Coastal Carolina Regional Airport, a public airport serving New Bern in Craven County, North Carolina.
  • B. KVWN
    KVWN is the fictional San Diego television news station featured in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • C. WKG
    WKG is the National Rail station code for Workington railway station in Cumbria, England.
  • D. KNUW
    KNUW is the ICAO airport code for Naval Air Station Whidbey Island, a major U.S. Navy aviation facility in Washington State.
  • E. KWT
    KWT is the three-letter ISO 3166-1 alpha-3 country code assigned to Kuwait.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fb2a3c81908887d1d36aee942d completed April 19, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efbf6a4081908399ec1edf6f5a97 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f113a41c8190b17611eaa50516ca completed May 12, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_6a02f1e980f4819087eb191e13396581 completed May 12, 2026, 9:24 a.m.
Created at: April 10, 2026, 10:11 a.m.