Triple

T17573970
Position Surface form Disambiguated ID Type / Status
Subject Eemhaven E428010 entity
Predicate hasNearbyFacility P5648 FINISHED
Object Waalhaven NE NERFINISHED

How this triple was built (3 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: Waalhaven | Statement: [Eemhaven, hasNearbyFacility, Waalhaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waalhaven
Context triple: [Eemhaven, hasNearbyFacility, Waalhaven]
  • A. Heessen
    Heessen is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
  • B. Vechta
    Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
  • C. Dijver
    Dijver is a picturesque canal and adjoining street in the historic center of Bruges, Belgium, known for its medieval architecture and scenic waterfront views.
  • D. Oostzaan
    Oostzaan is a small municipality in the province of North Holland in the Netherlands, located just north of Amsterdam.
  • E. Nieuwe Waterweg
    Nieuwe Waterweg is a major artificial ship canal in the Netherlands that provides a direct deep-water connection between the North Sea and the port of Rotterdam.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waalhaven
Target entity description: Waalhaven is a major harbor and industrial area in the Port of Rotterdam, known for its extensive cargo and logistics facilities.
  • A. Heessen
    Heessen is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
  • B. Vechta
    Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
  • C. Dijver
    Dijver is a picturesque canal and adjoining street in the historic center of Bruges, Belgium, known for its medieval architecture and scenic waterfront views.
  • D. Oostzaan
    Oostzaan is a small municipality in the province of North Holland in the Netherlands, located just north of Amsterdam.
  • E. Nieuwe Waterweg chosen
    Nieuwe Waterweg is a major artificial ship canal in the Netherlands that provides a direct deep-water connection between the North Sea and the port of Rotterdam.
  • F. None of above.

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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e459330c788190907a02fc98e0e24b completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.