Triple

T31307
Position Surface form Disambiguated ID Type / Status
Subject Speaker of the United States House of Representatives E624 entity
Predicate rankInPresidentialSuccession P656 FINISHED
Object second 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: second | Statement: [Speaker of the United States House of Representatives, rankInPresidentialSuccession, second]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankInPresidentialSuccession
Context triple: [Speaker of the United States House of Representatives, rankInPresidentialSuccession, second]
  • A. successionOrder chosen
    Indicates the ordered sequence in which entities are designated to succeed or take over a role, position, or title.
  • B. headOfStateOf
    Indicates that one entity serves as the chief public representative and highest-ranking official authority of another entity, typically a country or state.
  • C. officeHolderOf
    Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
  • D. appointedBy
    Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
  • E. isCommanderInChiefOf
    Indicates that one entity holds the highest authority and ultimate command over the armed forces or military organization of another entity.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a249ec0d288190ac3a0939db61813b completed Feb. 28, 2026, 1:50 a.m.
PD Predicate disambiguation batch_69a24870417081909c7c01e400c94716 completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.