Triple

T5838257
Position Surface form Disambiguated ID Type / Status
Subject Ringen via Tøyen E129527 entity
Predicate hasRouteShape P37949 FINISHED
Object loop 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: loop | Statement: [Ringen via Tøyen, hasRouteShape, loop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRouteShape
Context triple: [Ringen via Tøyen, hasRouteShape, loop]
  • A. hasRouteType
    Indicates that there is a specific kind or category of route associated with an entity (e.g., road, rail, bus line).
  • B. hasRoute
    Indicates that there exists a path or connection enabling travel or communication from one entity to another.
  • C. hasRouteFeature chosen
    Indicates that a route possesses or is associated with a specific characteristic, attribute, or feature.
  • D. hasRouteAlignment
    Indicates that there is a defined spatial or geometric alignment associated with a route or pathway.
  • E. isRouteFor
    Indicates that one entity serves as a path, course, or channel used for traveling, transporting, or connecting to another 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_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.
Created at: March 22, 2026, 3:54 p.m.