Triple

T25834729
Position Surface form Disambiguated ID Type / Status
Subject Linz am Rhein E650763 entity
Predicate hasTourismSlogan P25952 FINISHED
Object Die bunte Stadt am Rhein 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: Die bunte Stadt am Rhein | Statement: [Linz am Rhein, hasTourismSlogan, Die bunte Stadt am Rhein]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTourismSlogan
Context triple: [Linz am Rhein, hasTourismSlogan, Die bunte Stadt am Rhein]
  • A. tourismSlogan chosen
    Indicates that a phrase is used as a promotional slogan to attract tourists to a place or destination.
  • B. hasTourismRegionBrand
    Indicates that an entity is associated with or belongs to a specific tourism region brand used for destination marketing or regional tourism identity.
  • C. touristRegionNickname
    Indicates that a tourist region is known by a particular informal or colloquial nickname.
  • D. isMottoOf
    Indicates that a phrase or expression serves as the official motto associated with a particular entity.
  • E. hasTourismAuthority
    Indicates that an entity holds official responsibility or power to manage, regulate, or oversee tourism-related activities for another entity or area.
  • 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_69e7ab37438081908f1ccf6284839520 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 22, 2026, 7:41 a.m.