Triple

T21883443
Position Surface form Disambiguated ID Type / Status
Subject Hollands Kroon E540345 entity
Predicate borderedBy P224 FINISHED
Object Medemblik 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: Medemblik | Statement: [Hollands Kroon, borderedBy, Medemblik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medemblik
Context triple: [Hollands Kroon, borderedBy, Medemblik]
  • A. Medemblik chosen
    Medemblik is a historic town and municipality in the northwest of the Netherlands, situated on the IJsselmeer and known for its medieval castle and sailing heritage.
  • B. Blijham
    Blijham is a village in the municipality of Westerwolde in the province of Groningen in the northeastern Netherlands.
  • C. Heerenveen
    Heerenveen is a Dutch town in the province of Friesland, known for its speed skating arena Thialf and its football club SC Heerenveen.
  • D. Oudenbosch
    Oudenbosch is a village in the Dutch province of North Brabant, known for its striking basilica modeled after St. Peter's in Rome.
  • E. Onderdendam
    Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118e9d3508190aadcfcdac0376387 completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:05 p.m.