Triple

T20061210
Position Surface form Disambiguated ID Type / Status
Subject CNP Assurances E499477 entity
Predicate historicalControlType P66217 FINISHED
Object state-influenced company 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: state-influenced company | Statement: [CNP Assurances, historicalControlType, state-influenced company]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalControlType
Context triple: [CNP Assurances, historicalControlType, state-influenced company]
  • A. historicallyControlledBy
    Indicates that an entity was under the control, rule, or governance of another entity during some period in the past.
  • B. historicalType chosen
    Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
  • C. typeOfControl
    Indicates the specific manner or mechanism by which one entity exercises control or influence over another.
  • D. historicalMethod
    Indicates that a particular method, approach, or technique was used in the past, typically in a historical context or during a previous period of activity.
  • E. traditionalControl
    Indicates a relationship where authority, influence, or regulation is exercised based on long-established customs, norms, or practices rather than formal or modern mechanisms.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637601dc8190a07fc20844093cb7 completed April 20, 2026, 5:33 p.m.
PD Predicate disambiguation batch_69e54cee7a5c819084ae4ff26419833f completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:38 p.m.