Triple

T3080314
Position Surface form Disambiguated ID Type / Status
Subject Anna Pavlovna of Russia E64239 entity
Predicate marriageLinkedCountry P27490 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: [Anna Pavlovna of Russia, marriageLinkedCountry, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Netherlands
Context triple: [Anna Pavlovna of Russia, marriageLinkedCountry, 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 regional less-than-truckload (LTL) freight carrier in the United States known for its operations in the Midwest and surrounding areas.
  • D. Holland
    Holland is a common English surname of Dutch origin, historically referring to people from the Holland region of the Netherlands.
  • 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: marriageLinkedCountry
Context triple: [Anna Pavlovna of Russia, marriageLinkedCountry, Netherlands]
  • A. spouseCountryOfCitizenship
    Indicates the country in which a person's spouse holds legal citizenship.
  • B. connectedThroughMarriageVia
    Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
  • C. marriageLocation chosen
    Indicates the place where a marriage ceremony or legal union between two people took place.
  • D. hasMarriage
    Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
  • E. marriageType
    Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a9d61081909953eb2f4ad4537e completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224ad6c30819086a9df7fc7c51ed8 completed March 12, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69ad9debb6308190be28378ae1fc98af completed March 8, 2026, 4:03 p.m.
Created at: March 8, 2026, 3:03 p.m.