Triple

T1466969
Position Surface form Disambiguated ID Type / Status
Subject French plebiscite of 1802 E27045 entity
Predicate noVotes P5055 FINISHED
Object approximately 8,374 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: approximately 8,374 | Statement: [French plebiscite of 1802, noVotes, approximately 8,374]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: noVotes
Context triple: [French plebiscite of 1802, noVotes, approximately 8,374]
  • A. voteAgainst chosen
    Indicates that an entity formally expresses opposition to a proposal, decision, or candidate in a voting process.
  • B. voteFor
    Indicates that one entity casts or expresses a vote in favor of another entity or option.
  • C. voteType
    Indicates the specific category or kind of vote associated with an action or decision (e.g., upvote, downvote, approval, rejection).
  • D. vote
    Indicates that an entity formally expresses a choice or preference in a decision-making process, typically an election or poll.
  • E. hadVoteIn
    Indicates that an entity participated by casting a vote in a particular decision, election, or voting event.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5bcfa0881909d6137c69825bc7a completed March 1, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69a4c48121e48190946c23c583e5fb64 completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:01 p.m.