Triple

T2780830
Position Surface form Disambiguated ID Type / Status
Subject United States presidential election of 1832 E61687 entity
Predicate electoralVotesReceivedByAndrewJackson P27351 FINISHED
Object 219 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: 219 | Statement: [United States presidential election of 1832, electoralVotesReceivedByAndrewJackson, 219]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralVotesReceivedByAndrewJackson
Context triple: [United States presidential election of 1832, electoralVotesReceivedByAndrewJackson, 219]
  • A. electoralVotesReceived chosen
    Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
  • B. electoralVotesWinner
    Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
  • C. electoralVotesReceivedByJohnFKennedy
    Indicates the number of electoral votes that were cast for and received by John F. Kennedy in a given election.
  • D. rankInElectoralCollege
    Indicates the position or standing an entity holds within the ordering of members in an electoral college for a given election or context.
  • E. electoralVoteOutcome
    Indicates the result of an election in terms of how electoral votes are allocated or distributed among candidates or options.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddceb9d88190961e30d521a21552 completed March 7, 2026, 8:11 a.m.
PD Predicate disambiguation batch_69abdd00b65c8190a8ea444308c4fa2b completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:57 p.m.