Triple

T34296875
Position Surface form Disambiguated ID Type / Status
Subject Medici princely institutions E880053 entity
Predicate centralizationOf P48948 FINISHED
Object political power in Florence 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: political power in Florence | Statement: [Medici princely institutions, centralizationOf, political power in Florence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: centralizationOf
Context triple: [Medici princely institutions, centralizationOf, political power in Florence]
  • A. centralization chosen
    Indicates that control, authority, or decision-making power is concentrated in a single central entity rather than distributed among multiple entities.
  • B. centralizesControlOf
    Indicates that one entity consolidates and concentrates decision-making authority or governance power over another entity or set of entities.
  • C. positionOnCentralization
    Indicates the degree to which an entity favors centralized versus decentralized control, authority, or decision-making.
  • D. centralIn
    Indicates that one entity occupies a central or most important position within another entity, context, or structure.
  • E. centralSet
    Indicates that the referenced set occupies a central or core position within a larger structure, system, or collection, often serving as a primary or focal subset.
  • 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_69f349b79f6c81909cb468c92c39c74d completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd6a1c1c4881908090053bc359b181 completed May 8, 2026, 4:44 a.m.
PD Predicate disambiguation batch_69fd696f24d8819091033afacbdaadc5 completed May 8, 2026, 4:41 a.m.
Created at: May 1, 2026, 1:57 a.m.