Triple

T13133703
Position Surface form Disambiguated ID Type / Status
Subject Van Gend en Loos E312026 entity
Predicate memberStatesInvolved P1059 FINISHED
Object Netherlands E864 NE FINISHED

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: Netherlands | Statement: [Van Gend en Loos, memberStatesInvolved, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Netherlands
Context triple: [Van Gend en Loos, memberStatesInvolved, Netherlands]
  • A. Netherlands chosen
    The Netherlands is a Western European country known for its low-lying geography, extensive canal systems, and historically significant role in global trade and European politics.
  • B. Nederland
    Nederland is a small mountain town in Colorado known for its scenic setting near the Rocky Mountains and its quirky local culture.
  • C. Holland
    Holland is a historic coastal region in the western Netherlands that became the political and economic heartland of the emerging Dutch state.
  • D. Holland
    Holland is a common English surname of Dutch origin, historically referring to people from the Holland region of the Netherlands.
  • E. Holland
    Holland is a regional less-than-truckload (LTL) freight carrier in the United States known for its operations in the Midwest and surrounding areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: memberStatesInvolved
Context triple: [Van Gend en Loos, memberStatesInvolved, Netherlands]
  • A. memberStatesType
    Indicates that an entity is classified as a type or category of member states within a larger organization or grouping.
  • B. memberStatesOrganization
    Indicates that an organization is composed of, or includes as members, the specified states.
  • C. memberStatesRegion
    Indicates that a region is composed of, or includes, the specified member states as its constituent parts.
  • D. memberStatesContribute
    Indicates that member states provide resources, support, or participation toward a shared goal, activity, or entity.
  • E. involvedCountry chosen
    Indicates that a country participates in, is associated with, or is otherwise implicated in the referenced event, activity, or situation.
  • F. None of above.

Provenance (4 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b3d72c8190b69ae56435a954fa completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eacc2f808190bcc6817b7ce82750 completed May 3, 2026, 6:27 a.m.
PD Predicate disambiguation batch_69d9804543cc8190a23cd7da59a12a7b completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:08 p.m.