Triple

T14340420
Position Surface form Disambiguated ID Type / Status
Subject Kortgene E355583 entity
Predicate locatedNear P294 FINISHED
Object Veerse Meer E358116 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: Veerse Meer | Statement: [Kortgene, locatedNear, Veerse Meer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veerse Meer
Context triple: [Kortgene, locatedNear, Veerse Meer]
  • A. Veerse Meer chosen
    Veerse Meer is a coastal lagoon and recreational lake in the Dutch province of Zeeland, popular for water sports and nature conservation.
  • B. Oostvoornse Meer
    Oostvoornse Meer is a recreational lake in the Dutch province of South Holland, popular for activities such as diving, windsurfing, and nature walks.
  • C. Zuiderzee
    The Zuiderzee was a former shallow inlet of the North Sea in the northwest of the Netherlands that played a major role in Dutch maritime trade and was later transformed into the freshwater IJsselmeer by large-scale land reclamation works.
  • D. Meer
    Meer is a surname of South Asian origin borne by numerous individuals, including notable figures in politics, academia, and the arts.
  • E. Zuidermeer
    Zuidermeer is a water area or sub-lake within the Kagerplassen lake district in the Netherlands, known for boating and watersports.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8674c0819091dfbe9c50778c5e completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5508da0c8190a8ea44ca737cf352 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:14 a.m.