Triple

T231446
Position Surface form Disambiguated ID Type / Status
Subject Public Law 93-198 E4418 entity
Predicate allocatesPowerBetween P2444 FINISHED
Object District of Columbia local government and United States Congress 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: District of Columbia local government and United States Congress | Statement: [Public Law 93-198, allocatesPowerBetween, District of Columbia local government and United States Congress]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allocatesPowerBetween
Context triple: [Public Law 93-198, allocatesPowerBetween, District of Columbia local government and United States Congress]
  • A. grantedPower
    Indicates that one entity has conferred authority, control, or a specific capability to another entity.
  • B. sharesPowerWith chosen
    Indicates that two or more entities jointly hold, exercise, or distribute authority or control in a shared manner.
  • C. mainCentralPower
    Indicates that an entity functions as the primary central authority or dominant power within a given system or context.
  • D. hasPower
    Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
  • E. allocates
    Indicates the act of assigning or distributing resources, responsibilities, or portions of something to specific entities or purposes.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25e0868708190ad551ca06cc57f4a completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b5a075081909b0e9b88c1492d5a completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.