Triple

T11552527
Position Surface form Disambiguated ID Type / Status
Subject Wylde Green railway station E273931 entity
Predicate hasStationCode P1289 FINISHED
Object WYL
WYL is the National Rail station code for Wylde Green railway station in the West Midlands, England.
E932741 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: WYL | Statement: [Wylde Green railway station, hasStationCode, WYL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WYL
Context triple: [Wylde Green railway station, hasStationCode, WYL]
  • A. YWL
    YWL is the IATA airport code for Williams Lake Regional Airport serving the city of Williams Lake in British Columbia, Canada.
  • B. YLW
    YLW is the IATA airport code for Kelowna International Airport, a major regional airport serving Kelowna and the Okanagan Valley in British Columbia, Canada.
  • C. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • D. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • E. WYB
    WYB is the National Rail station code for Weybridge railway station in Surrey, England.
  • 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: WYL
Triple: [Wylde Green railway station, hasStationCode, WYL]
Generated description
WYL is the National Rail station code for Wylde Green railway station in the West Midlands, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WYL
Target entity description: WYL is the National Rail station code for Wylde Green railway station in the West Midlands, England.
  • A. YWL
    YWL is the IATA airport code for Williams Lake Regional Airport serving the city of Williams Lake in British Columbia, Canada.
  • B. YLW
    YLW is the IATA airport code for Kelowna International Airport, a major regional airport serving Kelowna and the Okanagan Valley in British Columbia, Canada.
  • C. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • D. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • E. WYB
    WYB is the National Rail station code for Weybridge railway station in Surrey, England.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a85b9ac8190a57c1fdaeacbe3d6 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e851a6688190996580a077496833 completed April 21, 2026, 3 a.m.
NEDg Description generation batch_69e6ef93e7d88190af3853b82de23c1b completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f9144afc819081ee7f78e32ad39a completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.