Triple

T25791702
Position Surface form Disambiguated ID Type / Status
Subject Wheeler Compromise in Louisiana E649562 entity
Predicate hasPoliticalDomain P163360 FINISHED
Object party control of legislature 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: party control of legislature | Statement: [Wheeler Compromise in Louisiana, hasPoliticalDomain, party control of legislature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPoliticalDomain
Context triple: [Wheeler Compromise in Louisiana, hasPoliticalDomain, party control of legislature]
  • A. socioPoliticalDomainOf chosen
    Indicates the socio-political sphere, context, or domain within which an entity, action, or relationship is situated or exerts influence.
  • B. hasPoliticalComponent
    Indicates that something includes, involves, or is influenced by political factors, interests, or considerations.
  • C. hasPoliticalCurrent
    Indicates that an entity is associated with, aligned to, or characterized by a particular political current, ideology, or movement.
  • D. hasPoliticalCharacteristic
    Indicates that an entity possesses a specific political attribute, quality, or affiliation.
  • E. hasPoliticalActivityIn
    Indicates that an entity engages in or is associated with political activities within a specified location or jurisdiction.
  • 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_69f68805b4848190b75da14996d52a38 completed May 2, 2026, 11:25 p.m.
PD Predicate disambiguation batch_69f68609c0b08190a8e1238a4d97c270 completed May 2, 2026, 11:17 p.m.
Created at: April 22, 2026, 6 a.m.