Triple

T3808285
Position Surface form Disambiguated ID Type / Status
Subject Sauk E93064 entity
Predicate displacementCause P51873 FINISHED
Object U.S. expansion 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: U.S. expansion | Statement: [Sauk, displacementCause, U.S. expansion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: displacementCause
Context triple: [Sauk, displacementCause, U.S. expansion]
  • A. displacement
    Indicates a change in an entity’s position from one location to another, typically specifying both direction and magnitude of that movement.
  • B. displacementCategory
    Indicates the type or classification of a displacement event or condition associated with an entity.
  • C. displacementVariant
    Indicates a relationship where one entity is an alternative or modified form of another that differs specifically in its spatial position or displacement.
  • D. displacedBy
    Indicates that one entity has been moved, replaced, or forced out of its original position, role, or state by another entity.
  • E. displacementClass
    Indicates the category or type of physical displacement associated with an entity or event, typically grouping similar kinds or magnitudes of movement into a common class.
  • F. None of above. chosen

Provenance (4 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee8db8a288190afd1e3b9dcf02e97 completed March 9, 2026, 3:35 p.m.
PD Predicate disambiguation batch_69aee7461abc8190945716f4b93e1a18 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aee8d9b328819080158be59e5bcc97 completed March 9, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:16 p.m.