Triple

T2866968
Position Surface form Disambiguated ID Type / Status
Subject Slobodan Milošević E63463 entity
Predicate placeOfDeath P21 FINISHED
Object Scheveningen E71726 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: Scheveningen | Statement: [Slobodan Milošević, placeOfDeath, Scheveningen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scheveningen
Context triple: [Slobodan Milošević, placeOfDeath, Scheveningen]
  • A. Scheveningen chosen
    Scheveningen is a popular seaside resort district of The Hague in the Netherlands, known for its long sandy beach, pier, and promenade along the North Sea coast.
  • B. Katwijk
    Katwijk is a coastal town and municipality in the western Netherlands known for its North Sea beaches and historic fishing heritage.
  • C. Noordwijk
    Noordwijk is a coastal town in the western Netherlands known for its North Sea beaches, flower bulb fields, and the nearby European Space Agency’s ESTEC facility.
  • D. Hellevoetsluis
    Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
  • E. Alblasserdam
    Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfbcebcc81909a78a1787d823e3e completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b34ba8e6b081908866127ff3da46e0 completed March 12, 2026, 11:26 p.m.
Created at: March 6, 2026, 10:02 p.m.