Triple

T9488116
Position Surface form Disambiguated ID Type / Status
Subject inner ring of Paris E228813 entity
Predicate transportIntegrationWith P5321 FINISHED
Object Paris E568 NE FINISHED

How this triple was built (3 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: Paris | Statement: [inner ring of Paris, transportIntegrationWith, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [inner ring of Paris, transportIntegrationWith, Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • D. Paris
    Paris is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • E. Parigi
    Parigi is a coastal town that serves as the administrative center of Parigi Moutong Regency in Central Sulawesi, Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transportIntegrationWith
Context triple: [inner ring of Paris, transportIntegrationWith, Paris]
  • A. transportModeIntegration
    Indicates that different modes of transportation are coordinated or combined to enable seamless or efficient movement within a journey or transport system.
  • B. transportHubType
    Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
  • C. transportInterface
    Indicates a relationship where one entity serves as the medium or mechanism through which another entity is transported or conveyed.
  • D. coordinatesTransportationServicesWith chosen
    Indicates that one entity organizes and manages the alignment and collaboration of transportation services with another entity or set of entities.
  • E. transportDependency
    Indicates that one entity’s ability to be transported or to function in transport depends on another entity or transport resource.
  • F. None of above.

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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16126726c81908e6194a5db342c57 completed April 4, 2026, 7:06 p.m.
PD Predicate disambiguation batch_69cca561e6b0819090aa795f3c3a2083 completed April 1, 2026, 4:56 a.m.
Created at: March 30, 2026, 7:55 p.m.