Triple

T13900830
Position Surface form Disambiguated ID Type / Status
Subject Prince of the Empire E334213 entity
Predicate hadCollectiveInfluenceOn P45664 FINISHED
Object imperial legislation 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: imperial legislation | Statement: [Prince of the Empire, hadCollectiveInfluenceOn, imperial legislation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadCollectiveInfluenceOn
Context triple: [Prince of the Empire, hadCollectiveInfluenceOn, imperial legislation]
  • A. hasSignificantInfluenceIn
    Indicates that one entity exerts a substantial impact or shaping effect on another entity within a particular domain, context, or outcome.
  • B. influenced
    Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
  • C. hadInfluenceOn chosen
    Indicates that one entity affected, shaped, or contributed to the development, behavior, or characteristics of another entity.
  • D. influencedFormationOf
    Indicates that one entity played a significant role in shaping, initiating, or contributing to the development or establishment of another entity.
  • E. hasPossibleInfluence
    Indicates that one entity may have an effect on, contribute to, or shape the state, behavior, or outcome of another entity, without asserting that this influence is definite or direct.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25d9c7a48190ad8fb0ca676f4f7b completed April 14, 2026, 11:32 a.m.
PD Predicate disambiguation batch_69dd464b1ab48190ae50bfc902bf6ef7 completed April 13, 2026, 7:38 p.m.
Created at: April 9, 2026, 10:15 p.m.