Triple

T8380641
Position Surface form Disambiguated ID Type / Status
Subject Olympic Stadium (Amsterdam) E197677 entity
Predicate architect P184 FINISHED
Object Jan Wils E197678 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: Jan Wils | Statement: [Olympic Stadium (Amsterdam), architect, Jan Wils]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Wils
Context triple: [Olympic Stadium (Amsterdam), architect, Jan Wils]
  • A. Jan Wils chosen
    Jan Wils was a Dutch architect and member of the De Stijl movement, best known for designing the Olympic Stadium in Amsterdam.
  • B. Jos Wienen
    Jos Wienen is a Dutch politician who serves as the mayor of the city of Haarlem in the Netherlands.
  • C. Jan Gies
    Jan Gies was a Dutch resistance member best known for helping his wife Miep Gies hide Anne Frank and her family during World War II.
  • D. Jozef van Wissem
    Jozef van Wissem is a Dutch minimalist composer and lute player known for his avant-garde works and collaborations, including film scores with director Jim Jarmusch.
  • E. Jan Kiepura
    Jan Kiepura was a renowned Polish tenor and film actor of the early 20th century, celebrated for his powerful voice and international opera and cinema career.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c57080819097eef2b7e46eaaee completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde803ac088190ae185ef444c9c7b9 completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:02 p.m.