Triple

T3604952
Position Surface form Disambiguated ID Type / Status
Subject SBV Vitesse E76346 entity
Predicate hasRival P1375 FINISHED
Object NEC Nijmegen E13123 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: NEC Nijmegen | Statement: [SBV Vitesse, hasRival, NEC Nijmegen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NEC Nijmegen
Context triple: [SBV Vitesse, hasRival, NEC Nijmegen]
  • A. Nijmegen Quarter
    Nijmegen Quarter was a historical administrative region centered around the city of Nijmegen within the medieval Duchy of Guelders in the Low Countries.
  • B. Nijmegen chosen
    Nijmegen is a historic Dutch city near the German border that played a crucial strategic role during World War II, particularly in the Allied advance in 1944.
  • C. Eindhoven
    Eindhoven is a major city in the southern Netherlands known for its industrial and technological significance, particularly as a hub for electronics and design.
  • D. New Utrecht
    New Utrecht is a historic neighborhood in the southwestern part of Brooklyn, New York City, originally founded as a Dutch town in the 17th century.
  • E. Nuenen
    Nuenen is a village in the southern Netherlands, known for its association with both the painter Vincent van Gogh and computer scientist Edsger W. Dijkstra.
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc1e1f9188190b481c26b7f561db7 completed March 8, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b40320a0308190b2f358fe1488ed98 completed March 13, 2026, 12:29 p.m.
Created at: March 8, 2026, 3:22 p.m.