Triple

T20346365
Position Surface form Disambiguated ID Type / Status
Subject Walkden railway station E495880 entity
Predicate hasStationCode P1289 FINISHED
Object WKD
WKD is the National Rail station code for Walkden railway station in Greater Manchester, England.
 E1425027 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: WKD | Statement: [Walkden railway station, hasStationCode, WKD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WKD
Context triple: [Walkden railway station, hasStationCode, WKD]
  • A. WKD
    WKD is a suburban light rail system serving Warsaw and its surrounding areas, providing commuter connections between the city and nearby towns.
  • B. WCKD
    WCKD is the powerful, morally ambiguous scientific organization in *The Maze Runner* series that conducts brutal experiments on youths in a post-apocalyptic world under the guise of saving humanity.
  • C. UWKD
    UWKD is the ICAO airport code for Kazan International Airport in Kazan, Russia.
  • D. WKK
    WKK is the National Rail station code for Wakefield Kirkgate railway station in West Yorkshire, England.
  • E. WK
    WK is the IATA airline designator assigned to Edelweiss Air, a Swiss leisure airline based in Zurich.
  • 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: WKD
Triple: [Walkden railway station, hasStationCode, WKD]
Generated description
WKD is the National Rail station code for Walkden railway station in Greater Manchester, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WKD
Target entity description: WKD is the National Rail station code for Walkden railway station in Greater Manchester, England.
  • A. WKD
    WKD is a suburban light rail system serving Warsaw and its surrounding areas, providing commuter connections between the city and nearby towns.
  • B. WCKD
    WCKD is the powerful, morally ambiguous scientific organization in *The Maze Runner* series that conducts brutal experiments on youths in a post-apocalyptic world under the guise of saving humanity.
  • C. UWKD
    UWKD is the ICAO airport code for Kazan International Airport in Kazan, Russia.
  • D. WKK
    WKK is the National Rail station code for Wakefield Kirkgate railway station in West Yorkshire, England.
  • E. WK
    WK is the IATA airline designator assigned to Edelweiss Air, a Swiss leisure airline based in Zurich.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6783937a48190ac86e4959a781a2b completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0869616b388190a7a2d69c0188f180 completed May 16, 2026, 12:56 p.m.
NEDg Description generation batch_6a0869f7b4208190858fdeae882e008d completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a893f1c81909bc40e3c4db0e147 completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:24 a.m.