Triple

T35287312
Position Surface form Disambiguated ID Type / Status
Subject Old Stavanger E1019120 entity
Predicate mainTouristActivity P58503 FINISHED
Object sightseeing 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: sightseeing | Statement: [Old Stavanger, mainTouristActivity, sightseeing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainTouristActivity
Context triple: [Old Stavanger, mainTouristActivity, sightseeing]
  • A. mainTour
    Indicates that one entity serves as the primary or central tour associated with another entity.
  • B. nearestTouristDestination
    Indicates that one location is the closest tourist destination to another specified location.
  • C. subjectOfTour
    Indicates that an entity serves as the main focus, destination, or theme of a tour.
  • D. alsoAttractsTouristsIn
    Indicates that a place, in addition to another, draws or appeals to tourists within a specified location or context.
  • E. tourismEvent chosen
    Indicates an event or activity that is organized for or significantly involves tourism, attracting visitors for leisure, cultural, or recreational purposes.
  • 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_69f76de6d39c8190bb11342e4b91ff2b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcd867f36081908c88c55a6a1404c1 completed May 7, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69fcd1f47b188190b4cf4b4c748d9d03 completed May 7, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:03 p.m.