Triple

T426320
Position Surface form Disambiguated ID Type / Status
Subject United States Associate Attorney General E9614 entity
Predicate rankInDepartmentOfJustice P7155 FINISHED
Object third-highest-ranking official 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: third-highest-ranking official | Statement: [United States Associate Attorney General, rankInDepartmentOfJustice, third-highest-ranking official]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankInDepartmentOfJustice
Context triple: [United States Associate Attorney General, rankInDepartmentOfJustice, third-highest-ranking official]
  • A. legalHierarchyRank
    Indicates the relative position or level of authority an entity holds within a legal or judicial hierarchy.
  • B. relativeAuthorityToChiefJustice
    Indicates the degree or nature of authority that an entity holds in relation to the Chief Justice.
  • C. rankHeldByPost chosen
    Indicates that a particular organizational post or position is associated with, or carries, a specific rank.
  • D. isOfficerOf
    Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
  • E. ordinalInOffice
    Indicates the numerical order or rank of an individual’s term or tenure in a particular office or position.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eed691c4819092b7e57306114bbc completed Feb. 28, 2026, 1:34 p.m.
PD Predicate disambiguation batch_69a2edd6736c81909a6ca549f77b4345 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.