Triple

T20899558
Position Surface form Disambiguated ID Type / Status
Subject Flapper election E514632 entity
Predicate womenVotersNewlyEnfranchisedApproximateNumber P75068 FINISHED
Object about 5 million 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: about 5 million | Statement: [Flapper election, womenVotersNewlyEnfranchisedApproximateNumber, about 5 million]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: womenVotersNewlyEnfranchisedApproximateNumber
Context triple: [Flapper election, womenVotersNewlyEnfranchisedApproximateNumber, about 5 million]
  • A. approximateWomenVotersAdded chosen
    Indicates an estimated number of women voters that were added to a voter pool or electorate.
  • B. womenSuffrageGrantedIn
    Indicates that women were granted the legal right to vote in a specified place or jurisdiction.
  • C. suffrageIncludes
    Indicates that the scope of a group’s voting rights or electoral franchise extends to and encompasses the specified category of people or entities.
  • D. grantsSuffrageTo
    Indicates that one party confers the legal right to vote upon another party.
  • E. replacedPreviousVotingAgeForWomen
    Indicates that one legal provision or policy superseded and set a new voting age for women, replacing the previously established voting age for women.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8f92bd88190b59b2131ad1d9aa1 completed April 21, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69e5c9ac91108190a6700fcdf2f11890 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:47 p.m.