Triple

T33637347
Position Surface form Disambiguated ID Type / Status
Subject United States presidential election of 1820 E861732 entity
Predicate electoralVotesForJamesMonroe P46276 FINISHED
Object 231 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: 231 | Statement: [United States presidential election of 1820, electoralVotesForJamesMonroe, 231]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralVotesForJamesMonroe
Context triple: [United States presidential election of 1820, electoralVotesForJamesMonroe, 231]
  • A. popularVoteForJamesMonroe
    Indicates that the subject cast or contributed a popular vote in favor of James Monroe in an election.
  • B. electoralVoteFor chosen
    Indicates that a specified number of electoral votes are allocated or cast in favor of a particular candidate or option in an election.
  • C. popularVotePercentageForJamesMonroe
    Indicates the proportion of total popular votes that were cast for James Monroe in a given election.
  • D. electoralVotesReceived
    Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
  • E. electoralVotesWinner
    Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
  • 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_69f3498280c48190bcc3494017d14234 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fee25dbca481909e6f1c255122b3a8 completed May 9, 2026, 7:29 a.m.
PD Predicate disambiguation batch_69fee1c8915c8190b08b63e42881f1a9 completed May 9, 2026, 7:27 a.m.
Created at: May 1, 2026, 1:42 a.m.