Triple

T5563535
Position Surface form Disambiguated ID Type / Status
Subject Egyptian–Ottoman War (1831–1833) E145821 entity
Predicate externalInfluence P32209 FINISHED
Object Russian diplomatic intervention 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: Russian diplomatic intervention | Statement: [Egyptian–Ottoman War (1831–1833), externalInfluence, Russian diplomatic intervention]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: externalInfluence
Context triple: [Egyptian–Ottoman War (1831–1833), externalInfluence, Russian diplomatic intervention]
  • A. foreignInfluence chosen
    Indicates that one entity exerts influence, control, or significant impact on another entity from a different country or external origin.
  • B. typeOfInfluence
    Indicates the specific nature or category of influence that one entity exerts on another.
  • C. seeksToInfluence
    Indicates an entity’s intention or effort to affect, shape, or alter another entity’s behavior, decisions, or state.
  • D. sectorInfluence
    Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
  • E. influenced
    Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02032330c819094f2bc1e8c93a5b6 completed March 22, 2026, 5 p.m.
PD Predicate disambiguation batch_69c01b10bbf8819098655839c03b7832 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:36 p.m.