Triple

T14207740
Position Surface form Disambiguated ID Type / Status
Subject Wallasey Grove Road railway station E352141 entity
Predicate railCode P18202 FINISHED
Object WLG
WLG is the National Rail station code for Wallasey Grove Road railway station in Merseyside, England.
 E1086781 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: WLG | Statement: [Wallasey Grove Road railway station, railCode, WLG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WLG
Context triple: [Wallasey Grove Road railway station, railCode, WLG]
  • A. WLG
    WLG is the three-letter IATA airport code assigned to Wellington Airport, the main international gateway to New Zealand’s capital city.
  • B. WLD
    WLD is the native cryptocurrency token of the Worldcoin project, used for governance, incentives, and participation within its identity and financial ecosystem.
  • C. BE-WLG
    BE-WLG is the ISO 3166-2 code that uniquely identifies the Belgian province of Liège.
  • D. LWL
    LWL is the vehicle registration code assigned to the Włodawa area in eastern Poland.
  • E. WLA
    WLA is an acronym commonly used for the Women's Land Army, a civilian organization of women who worked in agriculture to support food production during wartime, particularly in the United Kingdom.
  • 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: WLG
Triple: [Wallasey Grove Road railway station, railCode, WLG]
Generated description
WLG is the National Rail station code for Wallasey Grove Road railway station in Merseyside, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WLG
Target entity description: WLG is the National Rail station code for Wallasey Grove Road railway station in Merseyside, England.
  • A. WLG
    WLG is the three-letter IATA airport code assigned to Wellington Airport, the main international gateway to New Zealand’s capital city.
  • B. WLD
    WLD is the native cryptocurrency token of the Worldcoin project, used for governance, incentives, and participation within its identity and financial ecosystem.
  • C. BE-WLG
    BE-WLG is the ISO 3166-2 code that uniquely identifies the Belgian province of Liège.
  • D. LWL
    LWL is the vehicle registration code assigned to the Włodawa area in eastern Poland.
  • E. WLA
    WLA is an acronym commonly used for the Women's Land Army, a civilian organization of women who worked in agriculture to support food production during wartime, particularly in the United Kingdom.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f84f288190877116330bd54393 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd195301e88190a5ef034253275fb0 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1ee00db08190adffce0381aaab94 completed May 7, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69fd231ab1dc81908e542c47bed9ada7 completed May 7, 2026, 11:41 p.m.
Created at: April 10, 2026, 1:05 a.m.