Triple

T15520866
Position Surface form Disambiguated ID Type / Status
Subject Monarch of Barbados E368961 entity
Predicate powersType P118971 FINISHED
Object reserve powers 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: reserve powers | Statement: [Monarch of Barbados, powersType, reserve powers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powersType
Context triple: [Monarch of Barbados, powersType, reserve powers]
  • A. powersFeature
    Indicates that one entity provides the underlying functionality or capability that enables a particular feature of another entity.
  • B. powerBy
    Indicates that one entity operates, functions, or is made possible through the energy, resources, or enabling capabilities provided by another entity.
  • C. powerDependsOn
    Indicates that the power or effectiveness of one entity is contingent upon, or influenced by, another entity.
  • D. usesPowerType
    Indicates that one entity operates or functions by means of a specified type or source of power.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0403543188190abac49d2b9decb89 completed April 16, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69ded2896a9c8190a8b9627deb3c17b4 completed April 14, 2026, 11:49 p.m.
PDg Predicate description generation batch_69ded57165288190979b7acb71ad5145 completed April 15, 2026, 12:01 a.m.
Created at: April 10, 2026, 4:04 a.m.