Triple

T23324555
Position Surface form Disambiguated ID Type / Status
Subject Wendover railway station E591252 entity
Predicate hasStationCode P1289 FINISHED
Object WND
WND is the National Rail station code for Wendover railway station in Buckinghamshire, England.
 E1580406 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: WND | Statement: [Wendover railway station, hasStationCode, WND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WND
Context triple: [Wendover railway station, hasStationCode, WND]
  • A. WND
    WND is the vehicle registration code for the Sankt Wendel district in the German state of Saarland.
  • B. WND
    WND is the vehicle registration code assigned to the Leoncin area in Poland.
  • C. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • D. WD
    WD is the National Rail station code for Woodside railway station in London, England.
  • E. WD
    WD is a UK postcode area covering parts of southwest Hertfordshire and northwest Greater London, including towns such as Watford.
  • 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: WND
Triple: [Wendover railway station, hasStationCode, WND]
Generated description
WND is the National Rail station code for Wendover railway station in Buckinghamshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WND
Target entity description: WND is the National Rail station code for Wendover railway station in Buckinghamshire, England.
  • A. WND
    WND is the vehicle registration code assigned to the Leoncin area in Poland.
  • B. WND
    WND is the vehicle registration code for the Sankt Wendel district in the German state of Saarland.
  • C. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • D. WD
    WD is the National Rail station code for Woodside railway station in London, England.
  • E. WD
    WD is a UK postcode area covering parts of southwest Hertfordshire and northwest Greater London, including towns such as Watford.
  • 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_69e25d1effe4819096907f95f610dbff completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19787ee90819083416193efaab20f completed April 29, 2026, 5:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4caa22e481909dd268629d121d33 completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4e4daa7c8190a6ca37a90e2bfc6b completed May 19, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4ea62df08190bf4a2252b7dc2641 completed May 19, 2026, 11:51 a.m.
Created at: April 17, 2026, 5:08 p.m.