Triple

T19569871
Position Surface form Disambiguated ID Type / Status
Subject Weesp railway station E489680 entity
Predicate hasStationCode P1289 FINISHED
Object WSP
WSP is the official station code used to identify Weesp railway station in the Netherlands.
 E1383705 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: WSP | Statement: [Weesp railway station, hasStationCode, WSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WSP
Context triple: [Weesp railway station, hasStationCode, WSP]
  • A. WSP
    WSP is the station code for Weesperplein, a metro station in Amsterdam, Netherlands.
  • B. WSP Global
    WSP Global is a Canadian-based multinational professional services firm specializing in engineering, design, and consulting for infrastructure, environmental, building, and transportation projects worldwide.
  • C. WSP Cantor Seinuk
    WSP Cantor Seinuk is a prominent structural engineering firm known for designing high-rise and complex buildings worldwide.
  • D. WTS
    WTS is a Reformed Christian seminary in Holland, Michigan, known for training pastors and church leaders within the Reformed Church in America and broader evangelical traditions.
  • E. WTS
    WTS is the commonly used abbreviation for the Watch Tower Bible and Tract Society of Pennsylvania, the primary legal and publishing organization associated with Jehovah’s Witnesses.
  • 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: WSP
Triple: [Weesp railway station, hasStationCode, WSP]
Generated description
WSP is the official station code used to identify Weesp railway station in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WSP
Target entity description: WSP is the official station code used to identify Weesp railway station in the Netherlands.
  • A. WSP
    WSP is the station code for Weesperplein, a metro station in Amsterdam, Netherlands.
  • B. WSP Global
    WSP Global is a Canadian-based multinational professional services firm specializing in engineering, design, and consulting for infrastructure, environmental, building, and transportation projects worldwide.
  • C. WSP Cantor Seinuk
    WSP Cantor Seinuk is a prominent structural engineering firm known for designing high-rise and complex buildings worldwide.
  • D. WTS
    WTS is a Reformed Christian seminary in Holland, Michigan, known for training pastors and church leaders within the Reformed Church in America and broader evangelical traditions.
  • E. WTS
    WTS is the commonly used abbreviation for the Watch Tower Bible and Tract Society of Pennsylvania, the primary legal and publishing organization associated with Jehovah’s Witnesses.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f7a74e88190a58d5274050a7d32 completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07578b96d08190a25990879135b598 completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a075865eaac819085b35d165fda91d4 completed May 15, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_6a07590b84488190a33889335ba95c95 completed May 15, 2026, 5:34 p.m.
Created at: April 10, 2026, 1:42 p.m.