Triple

T5838243
Position Surface form Disambiguated ID Type / Status
Subject Ringen via Tøyen E129527 entity
Predicate servicePatternType P67481 FINISHED
Object circular 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: circular | Statement: [Ringen via Tøyen, servicePatternType, circular]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servicePatternType
Context triple: [Ringen via Tøyen, servicePatternType, circular]
  • A. servicePatternOf
    Indicates that one entity is the service pattern (e.g., schedule, routing, or operational configuration) that defines or characterizes how another service-related entity operates.
  • B. serviceClass
    Indicates the classification or category of service associated with or provided by an entity in the relationship.
  • C. servesServicePattern
    Indicates that one entity provides or operates according to a particular service pattern or schedule for another.
  • D. serviceWith
    Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
  • E. serviceIn
    Indicates that one entity serves, operates, or performs its function within the context, scope, or domain of another entity.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c044ab0a048190b84be40fb13c0f50 completed March 22, 2026, 7:36 p.m.
PD Predicate disambiguation batch_69c03341e5888190a5f219b6f92cb161 completed March 22, 2026, 6:21 p.m.
PDg Predicate description generation batch_69c044a9c4f0819081b8c196932883f6 completed March 22, 2026, 7:36 p.m.
Created at: March 22, 2026, 3:54 p.m.