Triple

T25791682
Position Surface form Disambiguated ID Type / Status
Subject Wheeler Compromise in Louisiana E649562 entity
Predicate hasFederalInvolvement P10243 FINISHED
Object United States Congress NE NERFINISHED

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: United States Congress | Statement: [Wheeler Compromise in Louisiana, hasFederalInvolvement, United States Congress]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFederalInvolvement
Context triple: [Wheeler Compromise in Louisiana, hasFederalInvolvement, United States Congress]
  • A. federalEntityInvolved chosen
    Indicates that a federal-level government body or authority is involved in, associated with, or has jurisdiction over the referenced action or relationship.
  • B. hasStateInvolved
    Indicates that a particular state (as a political or administrative entity) participates in, is implicated in, or plays a role within a given situation, event, or relationship.
  • C. federalRuleInvolved
    Indicates that the situation, case, or action involves or is governed by a specific federal rule or regulation.
  • D. hasAuthorityInvolved
    Indicates that an authority or official body is involved in, oversees, or has jurisdiction over the referenced situation or relationship.
  • E. hasCapitalInvolved
    Indicates that a capital city is involved or plays a role in the specified relationship or 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_69e7ab33e9308190afe415dc6f9e8876 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f603bb02288190b40cedbed5b9651d completed May 2, 2026, 2:01 p.m.
PD Predicate disambiguation batch_69f602d07590819085ac34b189613104 completed May 2, 2026, 1:57 p.m.
Created at: April 22, 2026, 6 a.m.