Triple

T174812
Position Surface form Disambiguated ID Type / Status
Subject Cuban Americans E3552 entity
Predicate politicalInfluenceIn P6148 FINISHED
Object Florida politics 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: Florida politics | Statement: [Cuban Americans, politicalInfluenceIn, Florida politics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalInfluenceIn
Context triple: [Cuban Americans, politicalInfluenceIn, Florida politics]
  • A. politicalFunction
    Indicates that an entity holds, performs, or is associated with a specific role, duty, or function within a political system or structure.
  • B. politicalRepercussion
    Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
  • C. politicalSupporter
    Indicates that one entity supports, endorses, or aligns with the political views, actions, or position of another entity.
  • D. politicalContribution
    Indicates that one entity provides money or resources to support the political activities, campaigns, or objectives of another entity.
  • E. politicalPattern
    Indicates a recurring or characteristic way in which political behaviors, decisions, or power dynamics are organized or expressed.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258e32da88190ad9485aecd0bf08f completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a256689f908190afeb5ee82022a911 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a25737f9188190b9690dce98aed83a completed Feb. 28, 2026, 2:47 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.