Triple

T3345917
Position Surface form Disambiguated ID Type / Status
Subject 1852 United States presidential election E70373 entity
Predicate percentageOtherMajorCandidate P47362 FINISHED
Object 5.0 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: 5.0 | Statement: [1852 United States presidential election, percentageOtherMajorCandidate, 5.0]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: percentageOtherMajorCandidate
Context triple: [1852 United States presidential election, percentageOtherMajorCandidate, 5.0]
  • A. oppositionPercentage
    Indicates the proportion of entities or participants that are in opposition to a given proposal, action, or subject relative to the whole.
  • B. hasMajorPartyCandidate
    Indicates that an election, race, or contest includes at least one candidate representing a major political party.
  • C. thirdPartyCandidate
    Indicates that an individual is a political candidate who is not affiliated with either of the two major or primary parties in a given electoral system.
  • D. popularVotePercentageLoser
    Indicates the percentage of the total popular vote received by the candidate or party that did not win the election.
  • E. excludedMajorParty
    Indicates that a major political party is intentionally left out of participation or consideration in a given context or process.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1f36c74819093ef2c74a46c2351 completed March 8, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69ada42df1d48190874bb05f95deefde completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada52716ec81908e89688a81039394 completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:12 p.m.