Triple

T22856991
Position Surface form Disambiguated ID Type / Status
Subject Vice President of Rwanda E566509 entity
Predicate successorFunctionally P149995 FINISHED
Object other senior executive offices in Rwanda 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: other senior executive offices in Rwanda | Statement: [Vice President of Rwanda, successorFunctionally, other senior executive offices in Rwanda]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorFunctionally
Context triple: [Vice President of Rwanda, successorFunctionally, other senior executive offices in Rwanda]
  • A. successorFunction
    Indicates the relationship where one entity is defined as the immediate next or following element in a sequence or ordered set relative to another.
  • B. successionFunction
    Indicates the relationship where one entity directly follows or replaces another in an ordered sequence or chain.
  • C. successorDeterminedBy
    Indicates that the identity of a successor is established or chosen according to a specified rule, process, or determining factor.
  • D. successorAct
    Indicates that one action or event directly follows and replaces another in a sequence or process.
  • E. successor
    Indicates that one entity directly follows another in an ordered sequence or position.
  • F. None of above. chosen

Provenance (4 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17ebd7d48819085f350f2ce4144a0 completed April 29, 2026, 3:45 a.m.
PD Predicate disambiguation batch_69eed2d507c08190895ed971af0fc755 completed April 27, 2026, 3:07 a.m.
PDg Predicate description generation batch_69eeeb577e2081909f4a4e9c296535c0 completed April 27, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:37 p.m.