Triple

T8377716
Position Surface form Disambiguated ID Type / Status
Subject Maria of Trebizond E197615 entity
Predicate marriageCentury P56280 FINISHED
Object 15th century 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: 15th century | Statement: [Maria of Trebizond, marriageCentury, 15th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriageCentury
Context triple: [Maria of Trebizond, marriageCentury, 15th century]
  • A. century
    Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
  • B. marriageDuration
    Indicates the length of time that a marriage relationship has existed between two spouses.
  • C. marriageContext
    Indicates the situational or cultural circumstances under which a marriage occurs or exists, such as legal, social, or religious conditions surrounding the marital relationship.
  • D. associatedWithCentury chosen
    Indicates that something has a relevant connection or linkage to a particular century, such as occurring in, belonging to, or being characteristic of that time period.
  • E. marriageResolvedBy
    Indicates that a marital relationship between two parties has been formally concluded or dissolved through a specific resolving action or process (e.g., divorce, annulment).
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c229708190b813f5e7e44e10d4 completed March 31, 2026, 8:07 a.m.
PD Predicate disambiguation batch_69cb70cfe82881909fe374ba52649e84 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 6:02 p.m.