Triple

T8146785
Position Surface form Disambiguated ID Type / Status
Subject Windsor & Eton Riverside railway station E190230 entity
Predicate hasStationCode P1289 FINISHED
Object WNR
WNR is the National Rail station code for Windsor & Eton Riverside railway station in Berkshire, England.
 E712364 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: WNR | Statement: [Windsor & Eton Riverside railway station, hasStationCode, WNR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WNR
Context triple: [Windsor & Eton Riverside railway station, hasStationCode, WNR]
  • A. WNL
    WNL is the National Rail station code for Whinhill railway station in Inverclyde, Scotland.
  • B. WNA
    WNA is the acronym for the World Nuclear Association, an international organization that promotes the peaceful use and development of nuclear power worldwide.
  • C. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • D. WN
    WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
  • E. NWR
    NWR is the U.S. nationwide network of NOAA-operated radio stations that continuously broadcast weather forecasts, warnings, and emergency information.
  • 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: WNR
Triple: [Windsor & Eton Riverside railway station, hasStationCode, WNR]
Generated description
WNR is the National Rail station code for Windsor & Eton Riverside railway station in Berkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WNR
Target entity description: WNR is the National Rail station code for Windsor & Eton Riverside railway station in Berkshire, England.
  • A. WNL
    WNL is the National Rail station code for Whinhill railway station in Inverclyde, Scotland.
  • B. WNA
    WNA is the acronym for the World Nuclear Association, an international organization that promotes the peaceful use and development of nuclear power worldwide.
  • C. WN
    WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
  • D. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • E. NWR
    NWR is the U.S. nationwide network of NOAA-operated radio stations that continuously broadcast weather forecasts, warnings, and emergency information.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447d6b1881908ff3fa25af6b4e80 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc94b667d88190a0b47c7e0e07f338 completed April 1, 2026, 3:44 a.m.
NEDg Description generation batch_69cc95c228c08190a603c1dff44ff299 completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc96b02d38819085eb51c1943b3045 completed April 1, 2026, 3:53 a.m.
Created at: March 30, 2026, 5:36 p.m.