Triple

T22084113
Position Surface form Disambiguated ID Type / Status
Subject West St Leonards railway station E545727 entity
Predicate stationCode P1289 FINISHED
Object WLD
WLD is the National Rail station code for West St Leonards railway station in East Sussex, England.
E1516531 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: WLD | Statement: [West St Leonards railway station, stationCode, WLD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WLD
Context triple: [West St Leonards railway station, stationCode, WLD]
  • A. WLD
    WLD is the native cryptocurrency token of the Worldcoin project, used for governance, incentives, and participation within its identity and financial ecosystem.
  • B. WRE
    WRE is the IATA airport code for Whangārei Airport in Whangārei, New Zealand.
  • C. WL
    WL is the station code for Lutherstadt Wittenberg railway station in Germany.
  • D. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • E. WIL
    WIL is the vehicle registration code for the district of Bernkastel-Wittlich in the German state of Rhineland-Palatinate.
  • 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: WLD
Triple: [West St Leonards railway station, stationCode, WLD]
Generated description
WLD is the National Rail station code for West St Leonards railway station in East Sussex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WLD
Target entity description: WLD is the National Rail station code for West St Leonards railway station in East Sussex, England.
  • A. WLD
    WLD is the native cryptocurrency token of the Worldcoin project, used for governance, incentives, and participation within its identity and financial ecosystem.
  • B. WRE
    WRE is the IATA airport code for Whangārei Airport in Whangārei, New Zealand.
  • C. WL
    WL is the station code for Lutherstadt Wittenberg railway station in Germany.
  • D. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • E. WIL
    WIL is the vehicle registration code for the district of Bernkastel-Wittlich in the German state of Rhineland-Palatinate.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b95e908190bd846f531eb59b50 completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80bd85708190ba4217a96588a52a completed May 18, 2026, 3 a.m.
NEDg Description generation batch_6a0a8165238c81909f53f0c96ceda4dc completed May 18, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0a8267498481908a2ba238fcdc1547 completed May 18, 2026, 3:07 a.m.
Created at: April 16, 2026, 8:28 p.m.