Triple

T36235846
Position Surface form Disambiguated ID Type / Status
Subject Peter the Great worked incognito in Dutch shipyards E891375 entity
Predicate hasAssociatedDomain P176754 FINISHED
Object naval engineering 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: naval engineering | Statement: [Peter the Great worked incognito in Dutch shipyards, hasAssociatedDomain, naval engineering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAssociatedDomain
Context triple: [Peter the Great worked incognito in Dutch shipyards, hasAssociatedDomain, naval engineering]
  • A. hasDomainAssociation chosen
    Indicates that one entity is functionally or contextually linked to a particular domain, scope, or area of applicability.
  • B. hasPossibleDomain
    Indicates that a property or relation may apply to, or be defined over, a particular class or type of entities, without asserting that this is its only or actual domain.
  • C. supportsCustomDomain
    Indicates that an entity provides the capability to use or configure a custom domain name instead of a default or system-assigned domain.
  • D. containsDomain
    Indicates that one entity includes or encompasses a specific domain as part of its scope, structure, or area of applicability.
  • E. hasNumberOfDomains
    Indicates the specific count of distinct domains associated with an entity.
  • 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_69f76e4387048190a1b27bcbf4ec7423 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fd49f6dbac81909744373a357b7982 completed May 8, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69fd48ed68f481908374183c66a6b055 completed May 8, 2026, 2:22 a.m.
Created at: May 3, 2026, 4:09 p.m.