Triple

T14186610
Position Surface form Disambiguated ID Type / Status
Subject Hoeksche Waard E351593 entity
Predicate hasPart P35 FINISHED
Object Nieuw-Beijerland E89606 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: Nieuw-Beijerland | Statement: [Hoeksche Waard, hasPart, Nieuw-Beijerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nieuw-Beijerland
Context triple: [Hoeksche Waard, hasPart, Nieuw-Beijerland]
  • A. Nieuw-Beijerland chosen
    Nieuw-Beijerland is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • B. Zuid-Beijerland
    Zuid-Beijerland is a village in the western Netherlands, located in the province of South Holland and known for its rural character within the Hoeksche Waard region.
  • C. Oud-Beijerland
    Oud-Beijerland is a town in the western Netherlands known as one of the main population centers in the Hoeksche Waard region.
  • D. Kennemerland
    Kennemerland is a coastal historical region in the northwest of the Netherlands, known for its dunes, beaches, and old trading towns.
  • E. Bleiswijk
    Bleiswijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the municipality of Lansingerland.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4674da8881909dc6c1c8a36cf78e completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:03 a.m.