Triple

T11839276
Position Surface form Disambiguated ID Type / Status
Subject Martinus Osendarp E281602 entity
Predicate positionAfterSportsCareer P10023 FINISHED
Object police officer in the Netherlands LITERAL 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: police officer in the Netherlands | Statement: [Martinus Osendarp, positionAfterSportsCareer, police officer in the Netherlands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionAfterSportsCareer
Context triple: [Martinus Osendarp, positionAfterSportsCareer, police officer in the Netherlands]
  • A. postPlayingCareer
    Indicates a relationship where something pertains to or occurs during an entity’s period after its playing career has ended.
  • B. sportsCareer
    Indicates a relationship where an entity’s professional involvement, roles, or achievements in sports are associated with a particular sport, team, period, or competitive level.
  • C. roleAfterRetirement chosen
    Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
  • D. endOfInternationalCareer
    Indicates that an entity’s participation or involvement in international-level activities or competitions has concluded.
  • E. clubCareerEnd
    Indicates the point in time or event at which an entity’s involvement in a club-level career comes to an end.
  • F. None of above.

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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a63106b48190917817ec40d21a49 completed April 10, 2026, 7:26 a.m.
PD Predicate disambiguation batch_69d8a254a57481908a1e6ad97919c416 completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.