Triple

T23091798
Position Surface form Disambiguated ID Type / Status
Subject Under Secretary of State E575772 entity
Predicate hasSubPosition P58714 FINISHED
Object Principal Deputy Assistant Secretary within relevant bureaus 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: Principal Deputy Assistant Secretary within relevant bureaus | Statement: [Under Secretary of State, hasSubPosition, Principal Deputy Assistant Secretary within relevant bureaus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubPosition
Context triple: [Under Secretary of State, hasSubPosition, Principal Deputy Assistant Secretary within relevant bureaus]
  • A. hasPositionsFor
    Indicates that one entity offers or contains available roles, jobs, or positions for another entity.
  • B. hasSubmovement
    Indicates that a movement or action is composed of, or contains within it, a smaller constituent movement.
  • C. hasSubPeriod
    Indicates that a time period is composed of or contains another, more specific time period as a subordinate part.
  • D. hasSubcomponent
    Indicates that one entity is a constituent part or component of another, larger entity.
  • E. hasAssociatedPosition chosen
    Indicates that one entity is linked to a specific role, job, or spatial/organizational position associated with it.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18daa68d48190842e9cb6de31ea79 completed April 29, 2026, 4:48 a.m.
PD Predicate disambiguation batch_69ef89e5ce748190b2c3ac3843484127 completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 3:57 p.m.