Triple

T18381621
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Finland E446463 entity
Predicate monarchDesignateCitizenship P130918 FINISHED
Object German LITERAL FINISHED

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: German | Statement: [Kingdom of Finland, monarchDesignateCitizenship, German]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monarchDesignateCitizenship
Context triple: [Kingdom of Finland, monarchDesignateCitizenship, German]
  • A. grantedCitizenshipBy
    Indicates that one entity has officially conferred citizenship status upon another entity.
  • B. definedCitizenship
    Indicates that a formal citizenship status has been legally established or specified for an entity.
  • C. monarchAppointer
    Indicates the entity that has the authority or role to appoint or designate a particular monarch.
  • D. acquireCitizenshipBy
    Indicates the process or means by which an entity obtains or is granted citizenship through a specific method, action, or legal basis.
  • E. mayHoldCitizenshipOf
    Indicates that an entity is allowed or eligible to possess citizenship status of a specified country or jurisdiction.
  • F. None of above. chosen

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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179b60f88190adf39e85375bd11b completed April 19, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69e44ff1f92c8190afbb8e85d12bf2a9 completed April 19, 2026, 3:45 a.m.
PDg Predicate description generation batch_69e451a1bda48190a9cd1db436d4be62 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 10:45 a.m.