Triple

T16383373
Position Surface form Disambiguated ID Type / Status
Subject Morgan E397861 entity
Predicate historicalSignificanceContext P4345 FINISHED
Object landmark U.S. Supreme Court voting rights jurisprudence 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: landmark U.S. Supreme Court voting rights jurisprudence | Statement: [Morgan, historicalSignificanceContext, landmark U.S. Supreme Court voting rights jurisprudence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalSignificanceContext
Context triple: [Morgan, historicalSignificanceContext, landmark U.S. Supreme Court voting rights jurisprudence]
  • A. historicSignificanceScope
    Indicates the extent or level (e.g., local, national, global) at which something is considered historically significant.
  • B. hasHistoricalSignificance chosen
    Indicates that something possesses notable importance or influence within a historical context or period.
  • C. historicalPeriodOfSignificance
    Indicates the time period during which an entity is considered to have had its most important or influential historical impact.
  • D. hasHistoricSignificanceFor
    Indicates that something holds notable historical importance or relevance for a particular entity or group.
  • E. shareHistoricalContextAs
    Indicates that two or more entities are associated with or understood within the same historical background, period, or circumstances.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319ddcef08190a2081855b5cf6762 completed April 18, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69e226f94dd48190b7b8e0e983738a67 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:08 a.m.