Triple

T10520751
Position Surface form Disambiguated ID Type / Status
Subject Gilze en Rijen E248162 entity
Predicate hasSettlement P1068 FINISHED
Object Gilze E248162 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: Gilze | Statement: [Gilze en Rijen, hasSettlement, Gilze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilze
Context triple: [Gilze en Rijen, hasSettlement, Gilze]
  • A. Dinklage
    Dinklage is a small town in Lower Saxony, Germany, known as the birthplace of Cardinal Clemens August Graf von Galen.
  • B. Greven
    Greven is a town in the Münsterland region of North Rhine-Westphalia in western Germany, known for its proximity to Münster and its role as a local economic and transport hub.
  • C. Gilze en Rijen chosen
    Gilze en Rijen is a municipality and town in the southern Netherlands known for its proximity to Breda and its military air base.
  • D. Eelde
    Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
  • E. Bredius
    Bredius is a Dutch surname most notably associated with Abraham Bredius, a prominent art historian and expert on Dutch Golden Age painting.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509dec25881909bc748640f26a416 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e119fe4819085e5c1c6e71e6260 completed April 10, 2026, 2:49 p.m.
Created at: April 6, 2026, 12:28 p.m.