Triple

T11839294
Position Surface form Disambiguated ID Type / Status
Subject Tinus Osendarp E281603 entity
Predicate familyName P18 FINISHED
Object Osendarp E281603 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: Osendarp | Statement: [Tinus Osendarp, familyName, Osendarp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osendarp
Context triple: [Tinus Osendarp, familyName, Osendarp]
  • A. Osendarp chosen
    Osendarp is a Dutch surname most notably associated with Tinus Osendarp, a sprinter who competed in the 1936 Berlin Olympics.
  • B. Harskamp
    Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
  • C. Arensburg
    Arensburg is the former German name for Kuressaare, a historic town and seaside resort on Saaremaa Island in Estonia.
  • D. Werthhoven
    Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • E. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a63106b48190917817ec40d21a49 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167766c048190b8aaf09732d338d8 completed April 29, 2026, 2:05 a.m.
Created at: April 8, 2026, 9:43 p.m.