Triple

T11714262
Position Surface form Disambiguated ID Type / Status
Subject 1860 United States presidential election E278450 entity
Predicate AbrahamLincolnPopularVotes P100931 FINISHED
Object 1866000 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: 1866000 | Statement: [1860 United States presidential election, AbrahamLincolnPopularVotes, 1866000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: AbrahamLincolnPopularVotes
Context triple: [1860 United States presidential election, AbrahamLincolnPopularVotes, 1866000]
  • A. popularVotesForWilliamMcKinley
    Indicates the number of popular votes that were cast in favor of William McKinley in an election.
  • B. CalvinCoolidgePopularVoteShare
    Indicates the proportion of total popular votes received by Calvin Coolidge in a given election or electoral context.
  • C. republicanPopularVoteShare
    Indicates the proportion of total votes in an election that were cast for the Republican Party.
  • D. EisenhowerPopularVote
    Indicates that the subject received a specified share or count of the popular vote in an election involving Dwight D. Eisenhower.
  • E. RobertMLaFollettePopularVoteShare
    Indicates the proportion of the total popular vote that was received by Robert M. La Follette in a given election or electoral context.
  • F. None of above. chosen

Provenance (4 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69d88a7d483081909c2a101087515d74 completed April 10, 2026, 5:28 a.m.
PDg Predicate description generation batch_69d890458d948190b15054c9ba0fd923 completed April 10, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:40 p.m.