Triple

T18311127
Position Surface form Disambiguated ID Type / Status
Subject Giessenlanden E438625 entity
Predicate containsSettlement P847 FINISHED
Object Hoogblokland 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: Hoogblokland | Statement: [Giessenlanden, containsSettlement, Hoogblokland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoogblokland
Context triple: [Giessenlanden, containsSettlement, Hoogblokland]
  • A. Hoogblokland chosen
    Hoogblokland is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
  • B. Leenderbos
    Leenderbos is a large forest and nature reserve in the Dutch province of North Brabant, known for its pine woods, heathlands, and walking and cycling trails.
  • C. Land van Heusden
    Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
  • D. Bollenstreek
    Bollenstreek is a coastal region in the western Netherlands famous for its extensive flower bulb fields and springtime tulip displays.
  • E. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • 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_69e50219cd548190b8da5f402d5da773 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.