Triple

T6372937
Position Surface form Disambiguated ID Type / Status
Subject 1944 United States elections E143393 entity
Predicate presidentialTermNumberWon P152 FINISHED
Object fourth term for Franklin D. Roosevelt 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: fourth term for Franklin D. Roosevelt | Statement: [1944 United States elections, presidentialTermNumberWon, fourth term for Franklin D. Roosevelt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: presidentialTermNumberWon
Context triple: [1944 United States elections, presidentialTermNumberWon, fourth term for Franklin D. Roosevelt]
  • A. presidentialTerm
    Indicates the period of time during which an individual officially serves as president of a country or organization.
  • B. wonPresidentialElection
    Indicates that one entity achieved victory over others in a presidential election.
  • C. wonPresidencyWith
    Indicates that one entity attained the presidency by means of, or through the support, strategy, or circumstances provided by, another entity.
  • D. termCountAsPresident chosen
    Indicates the number of terms an individual has served in the role of president.
  • E. spansPresidentialTerm
    Indicates that an event, period, or entity extends across the duration of a specified presidential term, covering at least part of that term.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06829d76c819092b476631459233a completed March 22, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69c060ee055081908c79a1d151bd74cd completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:33 p.m.