Triple

T3207380
Position Surface form Disambiguated ID Type / Status
Subject Dolina Chochołowska E67195 entity
Predicate tourismSeasonPeakReason P33214 FINISHED
Object mass flowering of crocuses 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: mass flowering of crocuses | Statement: [Dolina Chochołowska, tourismSeasonPeakReason, mass flowering of crocuses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tourismSeasonPeakReason
Context triple: [Dolina Chochołowska, tourismSeasonPeakReason, mass flowering of crocuses]
  • A. countryDuringPeak
    Indicates the country in which an entity was located or primarily associated during its peak period of activity, influence, or performance.
  • B. tourismRegion
    Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
  • C. tourismImportance
    Indicates the degree to which a place or entity is significant or valuable as a destination or attraction for tourists.
  • D. tourismTheme
    Indicates the main subject or focus of a tourism-related activity, service, or destination (such as cultural, adventure, or eco-tourism).
  • E. tourismFeature chosen
    Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa58340881908347d772cfa0ac4c completed March 8, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69ad9e078f7c8190813d9fcb4f5071fb completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:07 p.m.