Triple

T14316338
Position Surface form Disambiguated ID Type / Status
Subject markrabě moravský E354965 entity
Predicate podřízenost P258 FINISHED
Object český král 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: český král | Statement: [markrabě moravský, podřízenost, český král]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: podřízenost
Context triple: [markrabě moravský, podřízenost, český král]
  • A. subordinateTo chosen
    Indicates that one entity holds a lower rank, status, or authority and is subject to the control, direction, or oversight of another entity.
  • B. podlegała
    Indicates that one entity was subordinate to, under the authority of, or subject to the control or jurisdiction of another entity in the past.
  • C. under
    Indicates that one entity is positioned below or beneath another entity, often implying vertical alignment or coverage.
  • D. notSubordinateTo
    Indicates that one entity is not in a lower-ranking, subordinate, or reporting position to another entity within a hierarchy or organizational structure.
  • E. vice
    Indicates a relationship where one entity serves as the deputy, subordinate leader, or second-in-command to another entity in a hierarchical structure.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8838e45c819080ee69dd39e3bd43 completed April 14, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69de2a9515f4819081aabf251bca5878 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:12 a.m.