Triple

T11564532
Position Surface form Disambiguated ID Type / Status
Subject Seoul–New York E274221 entity
Predicate connectsCulturalCenters P35250 FINISHED
Object true 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: true | Statement: [Seoul–New York, connectsCulturalCenters, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsCulturalCenters
Context triple: [Seoul–New York, connectsCulturalCenters, true]
  • A. culturalOrganization
    Indicates that an entity is an organization whose primary purpose involves cultural activities, preservation, or promotion.
  • B. isCulturalCenterFor
    Indicates that one entity serves as a primary hub or focal point for the cultural activities, heritage, or identity of another entity.
  • C. connectsCommunities chosen
    Indicates a relationship in which something links or brings together separate communities, enabling interaction, communication, or shared activity between them.
  • D. hasCulturalOrganization
    Indicates that an entity possesses, is associated with, or hosts a cultural organization (such as a museum, arts group, or cultural institution).
  • E. isCulturalCenter
    Indicates that an entity serves as a primary hub or focal point for the cultural activities, expressions, and institutions of a community or region.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd321f88190a57ecaf079fbbc3f completed April 10, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69d85dc3fc2c8190bed7e2111301a77c completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:37 p.m.