Triple

T7053379
Position Surface form Disambiguated ID Type / Status
Subject Vice President of Egypt E164024 entity
Predicate potentialSuccessorTo P11447 FINISHED
Object President of 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: President of Egypt | Statement: [Vice President of Egypt, potentialSuccessorTo, President of Egypt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: potentialSuccessorTo
Context triple: [Vice President of Egypt, potentialSuccessorTo, President of Egypt]
  • A. isSuccessorTo
    Indicates that one entity directly follows another in an ordered sequence, coming immediately after it.
  • B. successorDeterminedBy
    Indicates that the identity of a successor is established or chosen according to a specified rule, process, or determining factor.
  • C. eventualSuccessor chosen
    Indicates that one entity will become the successor of another at some later point in time, rather than immediately.
  • D. successorInstanceOf
    Indicates that one entity is a later or updated instance of another, preserving a continuity or versioned succession between them.
  • E. successorFrom
    Indicates that one entity directly follows or comes after another in an ordered sequence or progression.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e4a3c36c819080942c59f1830ae8 completed March 27, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69c6e1bdc1f08190975fcdbbb1854d1e completed March 27, 2026, 7:59 p.m.
Created at: March 27, 2026, 2:37 p.m.