Triple

T2925148
Position Surface form Disambiguated ID Type / Status
Subject Martin Ødegaard E78824 entity
Predicate formerClub P15460 FINISHED
Object Vitesse Arnhem
Vitesse Arnhem is a professional football club from Arnhem, Netherlands, known for competing in the Dutch Eredivisie.
 E310498 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: Vitesse Arnhem | Statement: [Martin Ødegaard, formerClub, Vitesse Arnhem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vitesse Arnhem
Context triple: [Martin Ødegaard, formerClub, Vitesse Arnhem]
  • A. 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.
  • B. Arnhemmer
    An Arnhemmer is a resident or native of the Dutch city of Arnhem in the province of Gelderland.
  • C. Diksmuide
    Diksmuide is a historic town in western Belgium known for its World War I battlefields and memorials, particularly the Yser Tower.
  • D. 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.
  • E. Breda
    Breda is a historic city in the southern Netherlands known for its medieval architecture, former status as a military and political center, and vibrant cultural life.
  • 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: Vitesse Arnhem
Triple: [Martin Ødegaard, formerClub, Vitesse Arnhem]
Generated description
Vitesse Arnhem is a professional football club from Arnhem, Netherlands, known for competing in the Dutch Eredivisie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vitesse Arnhem
Target entity description: Vitesse Arnhem is a professional football club from Arnhem, Netherlands, known for competing in the Dutch Eredivisie.
  • A. 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.
  • B. Arnhemmer
    An Arnhemmer is a resident or native of the Dutch city of Arnhem in the province of Gelderland.
  • C. Diksmuide
    Diksmuide is a historic town in western Belgium known for its World War I battlefields and memorials, particularly the Yser Tower.
  • D. 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.
  • E. Breda
    Breda is a historic city in the southern Netherlands known for its medieval architecture, former status as a military and political center, and vibrant cultural life.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c086888190ba51ce659a6c4f50 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0563a81788190b94fab34e41a76e7 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b062a0f74c8190943739f4cda3c614 completed March 10, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_69b0631e65e88190bd425222c60637db completed March 10, 2026, 6:29 p.m.
Created at: March 8, 2026, 2:55 p.m.