Triple

T3413391
Position Surface form Disambiguated ID Type / Status
Subject Noord-Beveland E71951 entity
Predicate partOf P40 FINISHED
Object Region of Zeeland E13728 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: Region of Zeeland | Statement: [Noord-Beveland, partOf, Region of Zeeland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Region of Zeeland
Context triple: [Noord-Beveland, partOf, Region of Zeeland]
  • A. Hoeksche Waard region
    The Hoeksche Waard region is a rural island area in South Holland, Netherlands, characterized by its agricultural landscape, historic villages, and network of polders and dikes.
  • B. Zeeland chosen
    Zeeland is a coastal province in the southwest of the Netherlands, known for its islands, peninsulas, and extensive dike and flood defense systems.
  • C. Flevoland
    Flevoland is the youngest Dutch province, largely created through land reclamation from the IJsselmeer in the central Netherlands.
  • D. Friesland district
    Friesland district is a rural administrative district in the German state of Lower Saxony, located on the North Sea coast and known for its coastal landscapes and North Frisian cultural heritage.
  • E. Gelderland
    Gelderland is a large province in the eastern Netherlands known for its varied landscapes, including the forested Veluwe region and the river areas along the Rhine, Waal, and IJssel.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb90ba83c81909abdcddb334e64f6 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62cd028808190a61ac9c12042611f completed March 27, 2026, 7:08 a.m.
Created at: March 8, 2026, 3:15 p.m.