Triple

T23522094
Position Surface form Disambiguated ID Type / Status
Subject Mubarak family E574534 entity
Predicate influenceOnPolicy P22482 FINISHED
Object economic liberalization policies in Egypt 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: economic liberalization policies in Egypt | Statement: [Mubarak family, influenceOnPolicy, economic liberalization policies in Egypt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influenceOnPolicy
Context triple: [Mubarak family, influenceOnPolicy, economic liberalization policies in Egypt]
  • A. influencedPolicyArea chosen
    Indicates that one entity has affected, shaped, or guided the development, direction, or implementation of a particular policy area associated with another entity.
  • B. politicalInfluenceIn
    Indicates that an entity exerts or holds political influence within a specified place, jurisdiction, or political context.
  • C. councilInfluenceOn
    Indicates the degree or manner in which a council affects, shapes, or exerts power over another entity or outcome.
  • D. administrativeInfluenceOn
    Indicates that one entity has the authority or capacity to affect, direct, or shape the administration, management, or governance of another entity.
  • E. seeksToInfluence
    Indicates an entity’s intention or effort to affect, shape, or alter another entity’s behavior, decisions, or state.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa873ad48190a86807bd4f26df82 completed April 29, 2026, 6:51 a.m.
PD Predicate disambiguation batch_69f1189d75b48190a1c01928a993c9fb completed April 28, 2026, 8:29 p.m.
Created at: April 17, 2026, 6:08 p.m.