Triple

T11491200
Position Surface form Disambiguated ID Type / Status
Subject northeastern Netherlands E272414 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Westerkwartier E55651 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: Westerkwartier | Statement: [northeastern Netherlands, hasCulturalRegion, Westerkwartier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westerkwartier
Context triple: [northeastern Netherlands, hasCulturalRegion, Westerkwartier]
  • A. Westerkwartier chosen
    Westerkwartier is a municipality in the Dutch province of Groningen, known for its rural landscapes, historic villages, and distinctive regional culture.
  • B. Westenra
    Westenra is the surname of Lucy Westenra, a character from Bram Stoker’s classic Gothic horror novel "Dracula."
  • C. Achterhoek
    Achterhoek is a rural region in the eastern Netherlands known for its scenic landscapes, traditional farms, and distinctive local culture and dialect.
  • D. Het Hogeland region
    Het Hogeland region is a rural coastal area in the north of the Dutch province of Groningen, known for its open landscapes, historic villages, and agricultural character.
  • E. Bezuidenhout
    Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a21fb048190acb0960aefd4fe0a completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6046ec5108190a0294cc86e1b60cc completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.