Triple

T12476216
Position Surface form Disambiguated ID Type / Status
Subject Cypselus E298181 entity
Predicate powerAcquisitionMethod P47765 FINISHED
Object violent seizure of power 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: violent seizure of power | Statement: [Cypselus, powerAcquisitionMethod, violent seizure of power]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powerAcquisitionMethod
Context triple: [Cypselus, powerAcquisitionMethod, violent seizure of power]
  • A. 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.
  • B. powerDependsOn
    Indicates that the power or effectiveness of one entity is contingent upon, or influenced by, another entity.
  • C. hasPowerSource
    Indicates that an entity derives its operational energy or functionality from a specified power source.
  • D. enablingPowerFor
    Indicates that one entity provides the capability or authority that allows another entity to perform a specific function, action, or role.
  • E. methodOfGainingPower chosen
    Indicates the way or process through which an entity acquires or increases power.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e626dbc8190ac7dcdb542ba9b0c completed April 10, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69d94d3f701c81909dd0e00251ac8553 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:56 p.m.