Triple

T38084080
Position Surface form Disambiguated ID Type / Status
Subject Luther Country E950927 entity
Predicate tourismMarketedBy P128127 FINISHED
Object German National Tourist Board NE NERFINISHED

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: German National Tourist Board | Statement: [Luther Country, tourismMarketedBy, German National Tourist Board]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tourismMarketedBy
Context triple: [Luther Country, tourismMarketedBy, German National Tourist Board]
  • A. hasTourismMarketing
    Indicates that an entity engages in or is associated with activities, strategies, or efforts aimed at promoting tourism.
  • B. tourismMarket
    Indicates a relationship where a location, service, or product functions as a destination or offering within the travel and tourism economy, attracting and serving tourists as a market segment.
  • C. touristAgency
    Indicates that an entity is a travel or tourist agency that organizes or provides tourism-related services for another entity.
  • D. hasTourismOrganization chosen
    Indicates that a place or destination is associated with a specific organization responsible for managing, promoting, or coordinating its tourism activities.
  • E. tourismFrom
    Indicates that tourists or visitor activity originates from one place and is directed toward another location.
  • 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_69f76f03a3608190a73fd6df87c792a8 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc4748843c8190931432653be4890c completed May 7, 2026, 8:03 a.m.
PD Predicate disambiguation batch_69fc45646ce481908caf292ff9f06e15 completed May 7, 2026, 7:55 a.m.
Created at: May 3, 2026, 4:21 p.m.