Triple

T20825591
Position Surface form Disambiguated ID Type / Status
Subject Freddie Oversteegen E512688 entity
Predicate placeOfBirth P1 FINISHED
Object Schoten NE NERFINISHED

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: Schoten | Statement: [Freddie Oversteegen, placeOfBirth, Schoten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schoten
Context triple: [Freddie Oversteegen, placeOfBirth, Schoten]
  • A. Schoten chosen
    Schoten is a municipality in the Belgian province of Antwerp, known as a suburban residential area north of the city of Antwerp.
  • B. Winschoten
    Winschoten is a town in the northeast of the Netherlands known historically as a regional trade center and for its traditional windmills and Jewish heritage.
  • C. Turnhout
    Turnhout is a historic city in northern Belgium known for its playing card industry, cultural heritage, and role as a regional center in the Kempen area.
  • D. Stitswerd
    Stitswerd is a small village in the northern Netherlands, located in the province of Groningen.
  • E. Merchtem
    Merchtem is a municipality in the Flemish Brabant province of Belgium, located in the Dutch-speaking Flanders region near Brussels.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fd8480819099930af691d97477 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.