Triple

T3914826
Position Surface form Disambiguated ID Type / Status
Subject EC1 Łódź E88809 entity
Predicate hasRoleInTourism P33155 FINISHED
Object key tourist destination in Łódź 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: key tourist destination in Łódź | Statement: [EC1 Łódź, hasRoleInTourism, key tourist destination in Łódź]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRoleInTourism
Context triple: [EC1 Łódź, hasRoleInTourism, key tourist destination in Łódź]
  • A. hasTourismFunction chosen
    Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
  • B. hasTourismHub
    Indicates that a place functions as a central location or focal point for tourism-related activities, services, or attractions for another place or region.
  • C. hasTouristRank
    Indicates that an entity is assigned a specific rank or rating based on its attractiveness or importance as a tourist destination.
  • D. hasTourismIndustry
    Indicates that a place or region possesses an established tourism industry, involving organized services and activities catering to visitors and travelers.
  • E. hasTourismRating
    Indicates that an entity has been assigned a specific tourism-related quality or rating, reflecting its appeal or suitability for tourists.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef188b474819087680db42b04ecdd completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee75eedcc81908088ff4dbb8be56b completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:22 p.m.