Triple

T18304199
Position Surface form Disambiguated ID Type / Status
Subject Vlagtwedde E438439 entity
Predicate hasSettlement P1068 FINISHED
Object Sellingen 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: Sellingen | Statement: [Vlagtwedde, hasSettlement, Sellingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sellingen
Context triple: [Vlagtwedde, hasSettlement, Sellingen]
  • A. Sellingen chosen
    Sellingen is a village in the municipality of Westerwolde in the province of Groningen in the northeastern Netherlands, known for its surrounding forests and natural landscapes.
  • 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. Sassenheim
    Sassenheim is a town in the Dutch province of South Holland, known historically for its bulb-growing industry and location within the Duin- en Bollenstreek (Dune and Bulb Region).
  • D. Steenbergen
    Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
  • E. Steenbergen
    Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5018256508190b024980e3a4a3ae9 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.