Triple

T22544609
Position Surface form Disambiguated ID Type / Status
Subject Dinteloord E557384 entity
Predicate hasHistoricalRegion P915 FINISHED
Object Prinsenland 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: Prinsenland | Statement: [Dinteloord, hasHistoricalRegion, Prinsenland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prinsenland
Context triple: [Dinteloord, hasHistoricalRegion, Prinsenland]
  • A. Kamperland
    Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
  • B. Forlandet
    Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
  • C. Seaside Kingdom
    Seaside Kingdom is a vibrant, ocean-themed world in Super Mario Odyssey known for its sparkling waters, seaside resorts, and the mission to protect its famous carbonated spring.
  • D. Lipperland
    Lipperland is a cultural region in northwestern Germany known for its distinct Lippe heritage, traditions, and historical identity.
  • E. Nesselande chosen
    Nesselande is a residential neighborhood in the northeastern part of Rotterdam, Netherlands, known for its modern housing and proximity to the Nesselande beach on the Zevenhuizerplas lake.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f34a0688190ad55be067db8e21b completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.