Triple

T14798157
Position Surface form Disambiguated ID Type / Status
Subject Wallasey Village railway station E347832 entity
Predicate hasStationCode P1289 FINISHED
Object WLV
WLV is the National Rail station code for Wallasey Village railway station on the Wirral Line in Merseyside, England.
 E1120651 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: WLV | Statement: [Wallasey Village railway station, hasStationCode, WLV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WLV
Context triple: [Wallasey Village railway station, hasStationCode, WLV]
  • A. WTLV
    WTLV is a television station serving the Jacksonville, Florida market, known primarily as the local NBC affiliate.
  • B. WLWV
    WLWV is the commonly used abbreviation for the West Linn–Wilsonville School District, a public school district serving the communities of West Linn and Wilsonville in Oregon.
  • C. WLO
    WLO is the National Rail station code used to identify London Waterloo Underground station in the UK rail network.
  • D. WLN
    WLN is the stock ticker symbol for Worldline, a major European provider of payment and transactional services.
  • E. WNLO
    WNLO is a major Chinese research institute specializing in optoelectronics and photonics, based in Wuhan.
  • 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: WLV
Triple: [Wallasey Village railway station, hasStationCode, WLV]
Generated description
WLV is the National Rail station code for Wallasey Village railway station on the Wirral Line in Merseyside, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WLV
Target entity description: WLV is the National Rail station code for Wallasey Village railway station on the Wirral Line in Merseyside, England.
  • A. WTLV
    WTLV is a television station serving the Jacksonville, Florida market, known primarily as the local NBC affiliate.
  • B. WLWV
    WLWV is the commonly used abbreviation for the West Linn–Wilsonville School District, a public school district serving the communities of West Linn and Wilsonville in Oregon.
  • C. WLO
    WLO is the National Rail station code used to identify London Waterloo Underground station in the UK rail network.
  • D. WLN
    WLN is the stock ticker symbol for Worldline, a major European provider of payment and transactional services.
  • E. WNLO
    WNLO is a major Chinese research institute specializing in optoelectronics and photonics, based in Wuhan.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd6131f08190885f1d27b4bfac7a completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c2cd848190bb0d8e4b5f7a489c completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe264b234881909903ebfc1039ec72 completed May 8, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe26ca706881908fe0da780bd9f691 completed May 8, 2026, 6:09 p.m.
Created at: April 10, 2026, 1:31 a.m.