Triple

T15500639
Position Surface form Disambiguated ID Type / Status
Subject 1967 Chicago mayoral election E378942 entity
Predicate popularVoteWinnerVotes P9220 FINISHED
Object 778534 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: 778534 | Statement: [1967 Chicago mayoral election, popularVoteWinnerVotes, 778534]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularVoteWinnerVotes
Context triple: [1967 Chicago mayoral election, popularVoteWinnerVotes, 778534]
  • A. popularVoteWinner
    Indicates that the subject is the candidate who received the highest number of individual votes cast by the electorate in an election.
  • B. popularVoteOutcome
    Indicates the result of a popular vote, specifying which option or candidate received the majority or winning share of votes.
  • C. popularVoteLoserTotal
    Indicates that the subject is the candidate who lost the election overall but received the specified total number of popular votes.
  • D. popularVotes chosen
    Indicates the number of votes an entity (such as a candidate or option) receives directly from individual voters in an election or decision process.
  • E. popularVoteShare
    Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69ded2896a9c8190a8b9627deb3c17b4 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:54 a.m.