Triple

T24288180
Position Surface form Disambiguated ID Type / Status
Subject Sei-i Taishōgun E605732 entity
Predicate deFactoPowerOver P155707 FINISHED
Object Japanese government 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: Japanese government | Statement: [Sei-i Taishōgun, deFactoPowerOver, Japanese government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: deFactoPowerOver
Context triple: [Sei-i Taishōgun, deFactoPowerOver, Japanese government]
  • A. hasNoPowerOver
    Indicates that one entity lacks authority, control, or influence over another entity or situation.
  • B. inPower
    Indicates that one entity currently holds governing authority, control, or leadership over a group, organization, or domain.
  • C. usesPowerFor
    Indicates that one entity applies or exploits a particular power, energy, or capability for a specific purpose or activity.
  • D. powering
    Indicates that one entity supplies energy or power that enables another entity to operate or function.
  • E. powerInterface
    Indicates that one entity serves as a power-providing interface or connection point for another entity, enabling the transfer or supply of electrical power.
  • 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_69e295480d0c8190846fc3c2e2da1d4c completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28f57a9a08190b183879ff76071d0 completed April 29, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69f1c457a2908190993824395b3c365d completed April 29, 2026, 8:41 a.m.
PDg Predicate description generation batch_69f27a753ca8819095706970d368f762 completed April 29, 2026, 9:39 p.m.
Created at: April 18, 2026, 12:08 a.m.