Triple

T6997115
Position Surface form Disambiguated ID Type / Status
Subject Grote Markt (Haarlem) E162242 entity
Predicate hasTouristRating P34399 FINISHED
Object major tourist attraction in North Holland 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: major tourist attraction in North Holland | Statement: [Grote Markt (Haarlem), hasTouristRating, major tourist attraction in North Holland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTouristRating
Context triple: [Grote Markt (Haarlem), hasTouristRating, major tourist attraction in North Holland]
  • A. hasTourismRating
    Indicates that an entity has been assigned a specific tourism-related quality or rating, reflecting its appeal or suitability for tourists.
  • B. hasTouristRank chosen
    Indicates that an entity is assigned a specific rank or rating based on its attractiveness or importance as a tourist destination.
  • C. hasTouristPopularity
    Indicates that a place or attraction is recognized as being popular or frequently visited by tourists.
  • D. hasTourismResource
    Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
  • E. hasTouristAttractionRole
    Indicates that an entity serves in the capacity or function of a tourist attraction for another entity (such as a place, organization, 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbedafa48190af0d2b47e3a1e17e completed March 27, 2026, 7:35 p.m.
PD Predicate disambiguation batch_69c6d7c4a18881908d267137daed828b completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:32 p.m.