Triple

T22523441
Position Surface form Disambiguated ID Type / Status
Subject Bussum E556836 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Huizen 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: Huizen | Statement: [Bussum, hasNeighbouringSettlement, Huizen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huizen
Context triple: [Bussum, hasNeighbouringSettlement, Huizen]
  • A. Huizen chosen
    Huizen is a town and municipality in the Dutch province of North Holland, situated in the Gooi region and known for its former fishing village character on the former Zuiderzee.
  • B. Driehuis
    Driehuis is a village in the Dutch province of North Holland, known for its residential character and proximity to the North Sea coast and nearby dunes.
  • C. Houten Huys
    Houten Huys is one of the oldest surviving wooden houses in Amsterdam, located in the historic Begijnhof courtyard.
  • D. Huis ter Heide
    Huis ter Heide is a small village in the Dutch province of Utrecht, known for its wooded surroundings and proximity to the former airbase at Soesterberg.
  • E. De Hoeve
    De Hoeve is a small village in the municipality of Weststellingwerf in the Dutch province of Friesland.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e34590c81909e4ed1c95f13a199 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.