Triple
T2032589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windermere railway station |
E44550
|
entity |
| Predicate | hasNationalRailEnquiryCode |
P1289
|
FINISHED |
| Object | WDM |
E225999
|
NE FINISHED |
How this triple was built (3 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: WDM | Statement: [Windermere railway station, hasNationalRailEnquiryCode, WDM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WDM Context triple: [Windermere railway station, hasNationalRailEnquiryCode, WDM]
-
A.
WDM
chosen
WDM is the National Rail station code for Windermere railway station in Cumbria, England.
-
B.
DWM
DWM is the Windows system component responsible for rendering and managing the visual effects and composition of the desktop user interface.
-
C.
DWC
DWC is the IATA airport code for Al Maktoum International Airport, a major airport in Dubai, United Arab Emirates.
-
D.
Wavelengths
Wavelengths is the Toronto International Film Festival’s avant-garde and experimental cinema program, showcasing innovative and boundary-pushing works in film and video.
-
E.
WD
WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalRailEnquiryCode Context triple: [Windermere railway station, hasNationalRailEnquiryCode, WDM]
-
A.
railroadCodeFor
Indicates that a specific railroad code is assigned to or used to identify a particular railroad entity.
-
B.
hasStationCode
chosen
Indicates that an entity is associated with a specific station identification code.
-
C.
railcode
Indicates that an entity is associated with a specific railway code used for identification or classification within a rail system.
-
D.
NationalRailEnquiriesPhoneNumber
Indicates that a given phone number is the official National Rail Enquiries contact number.
-
E.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
- F. None of above.
Provenance (4 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9313134819088133fb69b8f606f |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fed963c8190ac205b46f93ad650 |
completed | March 9, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.