Triple

T3215488
Position Surface form Disambiguated ID Type / Status
Subject Place de l'Étoile E67383 entity
Predicate hasTrafficConfiguration P39910 FINISHED
Object multi-lane circular junction 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: multi-lane circular junction | Statement: [Place de l'Étoile, hasTrafficConfiguration, multi-lane circular junction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTrafficConfiguration
Context triple: [Place de l'Étoile, hasTrafficConfiguration, multi-lane circular junction]
  • A. hasTrafficFunction
    Indicates that an entity performs, supports, or is assigned a specific function or role related to traffic management or control.
  • B. hasTrafficPattern
    Indicates that there is a characteristic or recurring flow of traffic associated with an entity, such as its typical volume, direction, or timing of movement.
  • C. hasTrafficControl
    Indicates that some form of traffic management or regulation mechanism is present or applied to a given route, intersection, or transportation element.
  • D. hasLaneConfigurations chosen
    Indicates that an entity is associated with one or more specific arrangements or patterns of lanes (e.g., number, type, or direction of lanes).
  • E. hasRoadConfiguration
    Indicates that there exists a specific arrangement or layout of roads associated with or characterizing 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab085a408190af9fb40acca31a5f completed March 8, 2026, 4:59 p.m.
PD Predicate disambiguation batch_69ad9e09b83881908801d79c3d9254f9 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:07 p.m.