Triple

T19571348
Position Surface form Disambiguated ID Type / Status
Subject Aalten municipality E489722 entity
Predicate containsSettlement P847 FINISHED
Object Bredevoort 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: Bredevoort | Statement: [Aalten municipality, containsSettlement, Bredevoort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bredevoort
Context triple: [Aalten municipality, containsSettlement, Bredevoort]
  • A. Bredevoort chosen
    Bredevoort is a small historic town in the Dutch province of Gelderland, known for its well-preserved medieval character and its reputation as a national "book town."
  • B. Zonnemaire
    Zonnemaire is a small village in the Dutch province of Zeeland, notable as the birthplace of Nobel Prize–winning physicist Pieter Zeeman.
  • C. Vanvliet
    Vanvliet is a surname of Dutch origin, commonly borne by individuals and families in the Netherlands and abroad.
  • D. Westerbroek
    Westerbroek is a village in the Dutch province of Groningen, known for its rural character and surrounding peat and nature areas.
  • E. Brinkhorst
    Brinkhorst is the Dutch family name of Princess Laurentien of the Netherlands, associated with a prominent political and aristocratic lineage.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402103208190b80acdfa82b7a9c4 completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.