Triple

T9563356
Position Surface form Disambiguated ID Type / Status
Subject Weesperplein metro station E230729 entity
Predicate hasStationCode P1289 FINISHED
Object WSP E754728 NE FINISHED

How this triple was built (2 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: [Weesperplein metro station, hasStationCode, WSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WSP
Context triple: [Weesperplein metro station, hasStationCode, WSP]
  • A. WSP chosen
    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 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9968b8608190b3078fe5764f0a69 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152a56f0481908f36df2d4d1291f2 completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:03 p.m.