Triple

T25791793
Position Surface form Disambiguated ID Type / Status
Subject Republican Party versus Democratic Party in Louisiana E649565 entity
Predicate issueInvolved P29037 FINISHED
Object Black suffrage 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: Black suffrage | Statement: [Republican Party versus Democratic Party in Louisiana, issueInvolved, Black suffrage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: issueInvolved
Context triple: [Republican Party versus Democratic Party in Louisiana, issueInvolved, Black suffrage]
  • A. involvesIssue chosen
    Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
  • B. issueType
    Indicates the specific category or classification assigned to an issue within a tracking or management context.
  • C. issue
    Indicates that an entity formally publishes, releases, or distributes something, such as a document, statement, or item, often in an official or authoritative capacity.
  • D. issues
    Indicates that an entity formally produces, releases, or distributes something, such as a document, order, or resource, making it officially available.
  • E. issueIncludes
    Indicates that an issue or problem encompasses, contains, or involves a specified element, component, or sub-issue as part of its scope.
  • 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_69e7ab33e9308190afe415dc6f9e8876 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f60c3b09488190ade1b69ff7f0df0e completed May 2, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69f60b8461ac81908c5bd3d73eed59f4 completed May 2, 2026, 2:34 p.m.
Created at: April 22, 2026, 6 a.m.