Triple

T2925156
Position Surface form Disambiguated ID Type / Status
Subject Martin Ødegaard E78824 entity
Predicate loanSpellAt P43966 FINISHED
Object Vitesse Arnhem E310498 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: Vitesse Arnhem | Statement: [Martin Ødegaard, loanSpellAt, Vitesse Arnhem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitesse Arnhem
Context triple: [Martin Ødegaard, loanSpellAt, Vitesse Arnhem]
  • A. Vitesse Arnhem chosen
    Vitesse Arnhem is a professional football club from Arnhem, Netherlands, known for competing in the Dutch Eredivisie.
  • B. Arnhem
    Arnhem is a city in the eastern Netherlands best known as the site of a major World War II battle during Operation Market Garden.
  • C. Arnhemmer
    An Arnhemmer is a resident or native of the Dutch city of Arnhem in the province of Gelderland.
  • D. Diksmuide
    Diksmuide is a historic town in western Belgium known for its World War I battlefields and memorials, particularly the Yser Tower.
  • E. Vecht
    The Vecht is a river in the eastern Netherlands and western Germany known for flowing through the province of Overijssel and into the IJsselmeer.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9e0fec048190bdd70c60ec5c92cd completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08664fe308190889e855821a32576 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:55 p.m.