Triple

T3089452
Position Surface form Disambiguated ID Type / Status
Subject Vice President's Residence E64454 entity
Predicate convertedToVicePresidentialUse P45845 FINISHED
Object 1974 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: 1974 | Statement: [Vice President's Residence, convertedToVicePresidentialUse, 1974]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: convertedToVicePresidentialUse
Context triple: [Vice President's Residence, convertedToVicePresidentialUse, 1974]
  • A. succeededAsVicePresidentBy
    Indicates that one individual ceased serving as vice president and was followed in that office by another specific individual.
  • B. vicePresidentElect
    Indicates that the subject is the person chosen to become vice president of the object (such as a country or organization) but has not yet assumed the office.
  • C. vicePresidentAfterElection
    Indicates that one person holds the office of vice president following a specified election or electoral event.
  • D. firstVicePresidentialOccupant
    Indicates that the subject is the very first individual to hold the office of vice president for the specified entity or position.
  • E. leftOfficeAsVicePresident
    Indicates that an individual ceased holding the position of vice president, marking the end of their term in that office.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20b99a4819090c3d3e08ed556ad completed March 8, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69ad9ded78f881908be6fc0fb7c35764 completed March 8, 2026, 4:03 p.m.
PDg Predicate description generation batch_69ada0f6fef48190b13898be383a246b completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:03 p.m.