Triple

T27713381
Position Surface form Disambiguated ID Type / Status
Subject Euphemia of Rügen E698750 entity
Predicate marriageLinkedPolities P49973 FINISHED
Object Principality of Rügen NE NERFINISHED

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: Principality of Rügen | Statement: [Euphemia of Rügen, marriageLinkedPolities, Principality of Rügen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriageLinkedPolities
Context triple: [Euphemia of Rügen, marriageLinkedPolities, Principality of Rügen]
  • A. realmOfMarriageAlliance
    Indicates a relationship where a marriage alliance is formed or exists within, or under the authority of, a particular realm or political domain.
  • B. marriageAllianceWith chosen
    Indicates a formal marital union established between two parties to create or strengthen a political, social, or strategic alliance.
  • C. marriageFormedBy
    Indicates that a marriage relationship was created or brought into existence by a specific event, action, or process.
  • D. formedByMarriageOf
    Indicates that something (typically a family, union, or legal entity) comes into existence as a result of the marriage between two entities.
  • E. rivalForMarriageOf
    Indicates that one entity is a romantic competitor with another entity for the opportunity to marry a specific third entity.
  • F. None of above.

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_69ef590f655c81909f93893b3b3219b2 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
Created at: April 27, 2026, 3:03 p.m.