Triple

T3744622
Position Surface form Disambiguated ID Type / Status
Subject Wybe E79780 entity
Predicate nameBearerCitizenship P35759 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: [Wybe, nameBearerCitizenship, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Netherlands
Context triple: [Wybe, nameBearerCitizenship, 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. Holland
    Holland is a historic coastal region in the western Netherlands that became the political and economic heartland of the emerging Dutch state.
  • C. Holland
    Holland is a common English surname of Dutch origin, historically referring to people from the Holland region of the Netherlands.
  • D. 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.
  • E. Belgium
    Belgium is a Western European country known for its role as a founding member of major international organizations, including NATO and the European Union, and for hosting many of their key institutions.
  • 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: nameBearerCitizenship
Context triple: [Wybe, nameBearerCitizenship, Netherlands]
  • A. namedAfterCountryOfCitizenship
    Indicates that something is named after the country where a person holds citizenship.
  • B. definedCitizenship
    Indicates that a formal citizenship status has been legally established or specified for an entity.
  • C. hasEponymCitizenship chosen
    Indicates that an entity’s eponym (the person or figure it is named after) holds or held a particular citizenship or national affiliation.
  • D. bearerNationality
    Indicates that one entity is the country or nationality associated with the bearer of another entity, such as a document or credential.
  • E. citizenshipInheritance
    Indicates that an individual acquires or derives their citizenship from another person, typically a parent or ancestor, through legal or hereditary transmission.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb58c9048190a055d1f4a7e6b699 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4daf2b170819095a337246675e4c4 completed March 14, 2026, 3:50 a.m.
PD Predicate disambiguation batch_69adc04adebc819088d7f36d0ac343a6 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.